Leaderboard for challenge "LF - Lane following (rev. 3) "

Last computed: 2025-10-31 18:10:01+00:00

Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	Wei Gao 🇸🇬	1633	1/4	First trial	18.6	18.	0.58	0.2
-	Wei Gao 🇸🇬	1839	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.61	0.4
-	Wei Gao 🇸🇬	1704	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.7	0.2
2	Anton Mashikhin 🇷🇺	1579	1/4	SAIC MOSCOW MML	18.6	18.	0.87	0.4
3	Mikita Sazanovich 🇷🇺	1859	1/4	JetBrains Research	18.6	18.	1.34	0.2
4	Jonathan Plante 🇨🇦	1744	1/4	JP pipeline	16.74	18.	1.05	1.8
5	Vincent Mai 🇨🇦	1033	1/4	ROS-based Lane Following	14.88	18.	1.86	1.8
6	Benjamin Ramtoula 🇨🇦	1063	1/4	My ROS solution	14.26	18.	0.91	0.6
7	Samuel Lavoie	819	1/4	Baby Duke	13.02	18.	0.89	2.2
8	David Abraham	1139	1/4	Pytorch IL	12.4	18.	1.49	1.4

Extended leaderboard

This list includes repeated entries from the same user and the entries from the organizers.

Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	Wei Gao 🇸🇬	1633	1/4	First trial	18.6	18.	0.58	0.2
-	Wei Gao 🇸🇬	1631	1/4	First trial	18.6	18.	0.6	0.2
-	Wei Gao 🇸🇬	1645	1/4	First trial	18.6	18.	0.61	0.2
-	Wei Gao 🇸🇬	1839	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.61	0.4
-	Wei Gao 🇸🇬	1653	1/4	First trial	18.6	18.	0.67	0.2
-	Wei Gao 🇸🇬	1596	1/4	First trial	18.6	18.	0.67	0.2
-	Wei Gao 🇸🇬	1854	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.69	0.2
-	Wei Gao 🇸🇬	1639	1/4	First trial	18.6	18.	0.69	0.2
-	Wei Gao 🇸🇬	1847	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.69	0.4
-	Wei Gao 🇸🇬	2056	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1818	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1766	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1704	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1646	1/4	First trial	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1643	1/4	First trial	18.6	18.	0.7	0.2
-	Wei Gao 🇸🇬	1866	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.7	0.4
-	Wei Gao 🇸🇬	1782	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.71	0.2
-	Wei Gao 🇸🇬	1764	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.71	0.2
-	Wei Gao 🇸🇬	1703	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.71	0.2
-	Wei Gao 🇸🇬	1763	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.71	0.4
-	Wei Gao 🇸🇬	2068	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.72	0.2
-	Wei Gao 🇸🇬	1837	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.72	0.2
-	Wei Gao 🇸🇬	1761	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.72	0.2
-	Wei Gao 🇸🇬	1810	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.72	0.4
-	Wei Gao 🇸🇬	1768	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.73	0.2
-	Wei Gao 🇸🇬	1767	1/4	NUS & Panasonic R&D Center Singapore	18.6	18.	0.73	0.2
-	Wei Gao 🇸🇬	1760	1/4	NUS&PANASONIC_R&D_SINGAPORE	18.6	18.	0.73	0.2
-	Wei Gao 🇸🇬	1602	1/4	First trial	18.6	18.	0.73	0.2
-	Andrea Censi 🇨🇭	1896	1/4	Copy of #1: sub 1633 by WEIGAO (First trial)	18.6	18.	0.74	0.2
-	Andrea Censi 🇨🇭	1898	1/4	Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML)	18.6	18.	0.87	0.4
2	Anton Mashikhin 🇷🇺	1579	1/4	SAIC MOSCOW MML	18.6	18.	0.87	0.4
-	Andrea Censi 🇨🇭	1908	1/4	Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML)	18.6	18.	0.89	0.4
-	Anton Mashikhin 🇷🇺	1668	1/4	SAIC MOSCOW MML	18.6	18.	0.91	0.4
-	Anton Mashikhin 🇷🇺	1372	1/4	SAIC MOSCOW MML	18.6	18.	0.93	0.6
-	Andrea Censi 🇨🇭	1909	1/4	Copy of #3: sub 1859 by miksaz (JetBrains Research)	18.6	18.	1.34	0.2
-	Andrea Censi 🇨🇭	1899	1/4	Copy of #3: sub 1859 by miksaz (JetBrains Research)	18.6	18.	1.34	0.2
3	Mikita Sazanovich 🇷🇺	1859	1/4	JetBrains Research	18.6	18.	1.34	0.2
-	Wei Gao 🇸🇬	1644	1/4	First trial	17.98	18.	0.58	0.2
-	Wei Gao 🇸🇬	1843	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.59	0.2
-	Wei Gao 🇸🇬	1634	1/4	First trial	17.98	18.	0.59	0.2
-	Wei Gao 🇸🇬	1765	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.59	0.4
-	Wei Gao 🇸🇬	1640	1/4	First trial	17.98	18.	0.59	0.4
-	Wei Gao 🇸🇬	1835	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.6	0.2
-	Wei Gao 🇸🇬	1773	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.6	0.2
-	Wei Gao 🇸🇬	1762	1/4	NUS&PANASONIC_R&D_SINGAPORE	17.98	18.	0.6	0.2
-	Wei Gao 🇸🇬	1641	1/4	First trial	17.98	18.	0.6	0.4
-	Wei Gao 🇸🇬	1811	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.61	0.2
-	Wei Gao 🇸🇬	1638	1/4	First trial	17.98	18.	0.61	0.2
-	Wei Gao 🇸🇬	1841	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.62	0.2
-	Wei Gao 🇸🇬	1771	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.62	0.4
-	Wei Gao 🇸🇬	1642	1/4	First trial	17.98	18.	0.63	0.2
-	Wei Gao 🇸🇬	1637	1/4	First trial	17.98	18.	0.65	0.2
-	Wei Gao 🇸🇬	1636	1/4	First trial	17.98	18.	0.68	0.4
-	Wei Gao 🇸🇬	1775	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.69	0.4
-	Wei Gao 🇸🇬	1757	1/4	NUS&PANASONIC_R&D_SINGAPORE	17.98	18.	0.69	0.4
-	Wei Gao 🇸🇬	1850	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.7	0.2
-	Wei Gao 🇸🇬	1814	1/4	NUS & Panasonic R&D Center Singapore	17.98	18.	0.72	0.4
-	Mikita Sazanovich 🇷🇺	1755	1/4	JetBrains Research	17.98	18.	1.12	0.4
-	Mikita Sazanovich 🇷🇺	1725	1/4	JetBrains Research	17.98	18.	1.14	0.6
-	Manfred Diaz	2190	1/4	Tensorflow template	16.74	18.	0.84	0.4
-	Andrea Censi 🇨🇭	1900	1/4	Copy of #4: sub 1684 by Jon (JP pipeline)	16.74	18.	1.05	1.8
4	Jonathan Plante 🇨🇦	1744	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Jonathan Plante 🇨🇦	1691	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Jonathan Plante 🇨🇦	1690	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Jonathan Plante 🇨🇦	1686	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Jonathan Plante 🇨🇦	1685	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Jonathan Plante 🇨🇦	1684	1/4	JP pipeline	16.74	18.	1.05	1.8
-	Anton Mashikhin 🇷🇺	1318	1/4	SAIC MOSCOW MML	16.74	18.	1.07	2.2
-	Wei Gao 🇸🇬	1739	1/4	NUS&PANASONIC_R&D_SINGAPORE	16.12	18.	0.7	0.2
-	Mikita Sazanovich 🇷🇺	1710	1/4	JetBrains Research	16.12	16.	1.02	0.4
-	Manfred Diaz	990	1/4	Tensorflow template	15.5	18.	0.84	0.6
-	Jonathan Plante 🇨🇦	709	1/4	JP pipeline	15.5	18.	0.99	3.2
-	Mikita Sazanovich 🇷🇺	1496	1/4	JetBrains Research	14.88	18.	0.94	2.
5	Vincent Mai 🇨🇦	1033	1/4	ROS-based Lane Following	14.88	18.	1.86	1.8
6	Benjamin Ramtoula 🇨🇦	1063	1/4	My ROS solution	14.26	18.	0.91	0.6
-	Mikita Sazanovich 🇷🇺	1387	1/4	JetBrains Research	14.26	18.	0.99	1.4
-	Mikita Sazanovich 🇷🇺	1549	1/4	JetBrains Research	13.64	18.	0.91	1.6
-	Benjamin Ramtoula 🇨🇦	1174	1/4	My ROS solution	13.64	18.	1.36	4.2
-	Anton Mashikhin 🇷🇺	1296	1/4	SAIC MOSCOW MML	13.02	18.	0.71	0.8
7	Samuel Lavoie	819	1/4	Baby Duke	13.02	18.	0.89	2.2
-	Vincent Mai 🇨🇦	1089	1/4	ROS-based Lane Following	13.02	18.	1.42	3.2
-	Jonathan Plante 🇨🇦	1687	1/4	JP pipeline	13.02	14.	0.86	1.4
-	Wei Gao 🇸🇬	1632	1/4	First trial	13.02	12.	0.54	0.2
-	Mikita Sazanovich 🇷🇺	1580	1/4	JetBrains Research	12.4	18.	0.89	1.4
-	Anton Mashikhin 🇷🇺	1289	1/4	SAIC MOSCOW MML	12.4	18.	0.95	2.
-	Anton Mashikhin 🇷🇺	1288	1/4	SAIC MOSCOW MML	12.4	18.	0.95	2.
-	Benjamin Ramtoula 🇨🇦	1134	1/4	My ROS solution	12.4	18.	1.37	3.2
-	Benjamin Ramtoula 🇨🇦	1136	1/4	My ROS solution	12.4	18.	1.43	3.2
-	Benjamin Ramtoula 🇨🇦	1191	1/4	My ROS solution	12.4	18.	1.48	5.2
8	David Abraham	1139	1/4	Pytorch IL	12.4	18.	1.49	1.4
-	Mikita Sazanovich 🇷🇺	1518	1/4	JetBrains Research	11.78	18.	0.89	1.8
-	Anton Mashikhin 🇷🇺	1287	1/4	SAIC MOSCOW MML	11.78	18.	0.94	2.2
-	Benjamin Ramtoula 🇨🇦	1140	1/4	My ROS solution	11.78	18.	1.39	3.6
-	Vincent Mai 🇨🇦	1894	1/4	ROS-based Lane Following	11.78	14.	1.19	0.6
-	Wei Gao 🇸🇬	1585	1/4	First trial	11.78	12.	0.54	0.6
-	Mikita Sazanovich 🇷🇺	1389	1/4	JetBrains Research	11.78	12.	0.67	1.
-	Mikita Sazanovich 🇷🇺	1499	1/4	JetBrains Research	11.16	18.	0.84	1.6
-	Benjamin Ramtoula 🇨🇦	957	1/4	My ROS solution	11.16	18.	1.08	0.2
-	Vincent Mai 🇨🇦	1121	1/4	ROS-based Lane Following	10.54	18.	1.57	7.2
-	Vincent Mai 🇨🇦	993	1/4	ROS-based Lane Following	10.54	18.	1.61	7.6
-	Vincent Mai 🇨🇦	1110	1/4	ROS-based Lane Following	10.54	18.	1.64	7.2
-	Mikita Sazanovich 🇷🇺	1383	1/4	RL solution	10.54	14.	0.83	1.8
9	Orlando Marquez 🇨🇦	455	1/4	PyTorch DDPG template	9.92	18.	1.38	1.4
-	Orlando Marquez 🇨🇦	454	1/4	PyTorch DDPG template	9.92	18.	1.38	1.4
-	Orlando Marquez 🇨🇦	436	1/4	PyTorch DDPG template	9.92	18.	1.38	1.4
-	Vincent Mai 🇨🇦	1104	1/4	ROS-based Lane Following	9.92	18.	1.57	6.8
-	Vincent Mai 🇨🇦	1115	1/4	ROS-based Lane Following	9.92	18.	1.61	7.2
-	Benjamin Ramtoula 🇨🇦	1058	1/4	My ROS solution	9.92	18.	1.66	3.4
-	Vincent Mai 🇨🇦	986	1/4	ROS-based Lane Following	9.92	18.	1.96	3.4
-	Mikita Sazanovich 🇷🇺	1390	1/4	JetBrains Research	9.92	12.	0.65	1.4
-	Benjamin Ramtoula 🇨🇦	1087	1/4	My ROS solution	9.92	12.	1.28	1.4
-	Orlando Marquez 🇨🇦	441	1/4	PyTorch DDPG template	9.3	18.	1.37	1.
-	Orlando Marquez 🇨🇦	463	1/4	PyTorch DDPG template	9.3	18.	1.37	1.2
-	Orlando Marquez 🇨🇦	440	1/4	PyTorch DDPG template	9.3	18.	1.37	1.6
-	Vincent Mai 🇨🇦	1120	1/4	ROS-based Lane Following	9.3	18.	1.59	7.2
-	Vincent Mai 🇨🇦	1090	1/4	ROS-based Lane Following	9.3	14.	1.23	3.2
-	Wei Gao 🇸🇬	1591	1/4	First trial	9.3	10.	0.3	0.2
-	Wei Gao 🇸🇬	1598	1/4	First trial	9.3	10.	0.41	0.2
-	Samuel Lavoie	1079	1/4	Fast Duke	9.3	10.	0.58	0.4
-	Andrea Censi 🇨🇭	1901	1/4	Copy of #5: sub 1033 by VincentMai (ROS-based Lane Following)	9.3	10.	1.18	2.4
-	Anton Mashikhin 🇷🇺	1243	1/4	SAIC MOSCOW MML	8.68	12.	0.76	0.2
-	Mikita Sazanovich 🇷🇺	1494	1/4	JetBrains Research	8.68	10.	0.43	0.4
10	Philippe Lacaille	985	1/4	Dolores' Awakening	8.68	10.	0.59	0.8
-	Jonathan Plante 🇨🇦	1230	1/4	JP pipeline	8.68	10.	0.64	1.
-	Vincent Mai 🇨🇦	1892	1/4	ROS-based Lane Following	8.68	10.	0.7	0.8
-	Benjamin Ramtoula 🇨🇦	1180	1/4	My ROS solution	8.68	10.	0.79	2.2
-	Benjamin Ramtoula 🇨🇦	700	1/4	My modified ROS-based Lane Following	8.06	12.	0.92	2.
-	Mikita Sazanovich 🇷🇺	1661	1/4	JetBrains Research	8.06	8.	0.51	0.2
11	Hristo Vrigazov 🇧🇬	1552	1/4	Visteon perception team	7.44	18.	0.91	1.
-	Benjamin Ramtoula 🇨🇦	1141	1/4	My ROS solution	7.44	10.	0.68	2.8
-	Hristo Vrigazov 🇧🇬	1647	1/4	Visteon perception team	6.82	18.	1.02	1.
-	Hristo Vrigazov 🇧🇬	1551	1/4	Tensorflow template	6.82	18.	1.02	1.
-	Benjamin Ramtoula 🇨🇦	1183	1/4	My ROS solution	6.82	18.	1.14	6.4
-	Vincent Mai 🇨🇦	984	1/4	ROS-based Lane Following	6.82	18.	1.93	3.
-	Vincent Mai 🇨🇦	1117	1/4	ROS-based Lane Following	6.82	12.	0.94	5.8
-	Vincent Mai 🇨🇦	1129	1/4	ROS-based Lane Following	6.82	12.	0.99	5.2
-	Benjamin Ramtoula 🇨🇦	1083	1/4	My ROS solution	6.82	10.	0.5	0.8
-	Benjamin Ramtoula 🇨🇦	1145	1/4	My ROS solution	6.82	10.	0.76	2.8
-	Mikita Sazanovich 🇷🇺	1384	1/4	JetBrains Research	6.82	8.	0.43	0.8
-	Vincent Mai 🇨🇦	1130	1/4	ROS-based Lane Following	6.2	18.	1.07	9.
-	Manfred Diaz	2192	1/4	Tensorflow template	6.2	8.	0.31	0.4
-	Anton Mashikhin 🇷🇺	1244	1/4	SAIC MOSCOW MML	6.2	8.	0.5	1.2
-	Philippe Lacaille	992	1/4	Dolores' Awakening	6.2	6.	0.32	0.4
-	David Abraham	964	1/4	Pytorch IL	6.2	6.	0.35	0.6
-	Samuel Lavoie	1081	1/4	Fast Duke	6.2	6.	0.51	0.4
-	Anton Mashikhin 🇷🇺	884	1/4	SAIC MOSCOW MML	5.58	16.	0.74	7.4
-	Mikita Sazanovich 🇷🇺	764	1/4	RL solution	5.58	14.	1.	0.8
-	Benjamin Ramtoula 🇨🇦	1789	1/4	My ROS solution	5.58	14.	1.52	4.6
-	Hristo Vrigazov 🇧🇬	1870	1/4	Visteon perception team	5.58	12.	0.71	0.2
-	Manfred Diaz	501	1/4	Tensorflow template	5.58	10.	0.49	0.4
12	Marius Hodel	1832	1/4	Tensorflow template	5.58	10.	0.56	0.2
-	Liam Paull 🇨🇦	1786	1/4	Tensorflow template	5.58	10.	0.56	0.2
-	Liam Paull 🇨🇦	1746	1/4	Tensorflow template	5.58	10.	0.56	0.2
13	Zhenming Yang 🇨🇳	1495	1/4	Tensorflow template	5.58	10.	0.56	0.2
-	Zhenming Yang 🇨🇳	1491	1/4	Tensorflow template	5.58	10.	0.56	0.2
14	shandonguniversity &&Inspur 🇨🇳	1482	1/4	Inspur CNN	5.58	10.	0.56	0.2
15	Inspur- team 🇨🇳	1363	1/4	Tensorflow template	5.58	10.	0.56	0.2
-	Anton Mashikhin 🇷🇺	1269	1/4	Tensorflow template	5.58	10.	0.56	0.2
16	Allen Ou	590	1/4	Tensorflow template	5.58	10.	0.56	0.2
-	Liam Paull 🇨🇦	502	1/4	Tensorflow template	5.58	10.	0.56	0.2
17	Tri Cao 🇺🇸	1521	1/4	Tensorflow template	5.58	10.	0.58	0.4
-	Tri Cao 🇺🇸	1515	1/4	Tensorflow template	5.58	10.	0.58	0.4
-	Dzenan Lapandic	459	1/4	Tensorflow template	5.58	8.	0.3	0.2
-	Samuel Lavoie	372	1/4	Tensorflow template	5.58	8.	0.3	0.2
-	Manfred Diaz	350	1/4	Tensorflow template	5.58	8.	0.3	0.2
-	Mikita Sazanovich 🇷🇺	1484	1/4	JetBrains Research	5.58	8.	0.31	0.4
-	David Abraham	1077	1/4	Pytorch IL	5.58	8.	0.37	0.4
-	David Abraham	1054	1/4	Pytorch IL	5.58	8.	0.37	0.4
-	Manfred Diaz	2197	1/4	Tensorflow template	5.58	8.	0.48	0.6
-	Anton Mashikhin 🇷🇺	853	1/4	SAIC MOSCOW MML	5.58	8.	0.58	1.6
-	Vincent Mai 🇨🇦	1036	1/4	ROS-based Lane Following	5.58	8.	0.77	1.6
-	Samuel Lavoie	1080	1/4	Fast Duke	5.58	6.	0.4	0.4
-	Jonathan Plante 🇨🇦	1218	1/4	JP pipeline	5.58	6.	0.42	1.
-	Dzenan Lapandic	515	1/4	Baseline solution using imitation learning from logs	4.96	18.	0.72	0.
-	Florian Golemo	1322	1/4	Tuned lane controller - ETHZ baseline extension	4.96	18.	1.06	0.2
-	Hristo Vrigazov 🇧🇬	1648	1/4	Visteon perception team	4.96	14.	0.99	0.2
-	Zhenming Yang 🇨🇳	1543	1/4	Tensorflow template	4.96	10.	0.52	0.6
-	Tri Cao 🇺🇸	1519	1/4	Tensorflow template	4.96	10.	0.52	0.6
18	Petra Csereoka 🇷🇴	1378	1/4	Tensorflow template	4.96	10.	0.52	0.6
-	Anton Mashikhin 🇷🇺	1295	1/4	SAIC MOSCOW MML	4.96	8.	0.39	0.2
-	Manfred Diaz	2194	1/4	Tensorflow template	4.96	6.	0.32	0.6
-	Benjamin Ramtoula 🇨🇦	701	1/4	My modified ROS-based Lane Following	4.96	6.	0.43	0.2
-	Manfred Diaz	2193	1/4	Tensorflow template	4.96	6.	0.44	1.
-	Benjamin Ramtoula 🇨🇦	1209	1/4	My ROS solution	4.96	6.	0.46	2.6
-	David Abraham	1045	1/4	Pytorch IL	4.34	18.	1.24	2.2
-	Orlando Marquez 🇨🇦	893	1/4	Imitating	4.34	18.	1.55	6.2
-	Mikita Sazanovich 🇷🇺	758	1/4	RL solution	4.34	16.	0.92	0.6
-	Vincent Mai 🇨🇦	1116	1/4	ROS-based Lane Following	4.34	10.	0.68	4.6
-	Philippe Lacaille	988	1/4	Dolores' Awakening	4.34	6.	0.27	0.2
-	Anton Mashikhin 🇷🇺	1304	1/4	SAIC MOSCOW MML	4.34	6.	0.28	0.2
19	Diego Charrez 🇵🇪	1479	1/4	Tensorflow	4.34	6.	0.34	0.8
-	Anton Mashikhin 🇷🇺	860	1/4	SAIC MOSCOW MML	4.34	6.	0.41	0.2
-	Anton Mashikhin 🇷🇺	859	1/4	SAIC MOSCOW MML	4.34	6.	0.41	0.2
-	Anton Mashikhin 🇷🇺	856	1/4	SAIC MOSCOW MML	4.34	6.	0.41	0.2
-	Anton Mashikhin 🇷🇺	858	1/4	SAIC MOSCOW MML	4.34	6.	0.46	0.2
-	Diego Charrez 🇵🇪	1352	1/4	PyTorch Sagemaker template	3.72	18.	0.26	8.4
-	Anton Mashikhin 🇷🇺	644	1/4	AI DL RL MML XXXL 2k18 yoo	3.72	18.	0.29	8.4
-	Vincent Mai 🇨🇦	1122	1/4	ROS-based Lane Following	3.72	12.	0.67	4.4
-	Philippe Lacaille	994	1/4	Dolores' Awakening	3.72	6.	0.29	0.2
-	Vincent Mai 🇨🇦	1029	1/4	ROS-based Lane Following	3.72	6.	0.35	1.8
-	Vincent Mai 🇨🇦	1093	1/4	ROS-based Lane Following	3.72	6.	0.41	1.4
-	Jonathan Plante 🇨🇦	577	1/4	JP pipeline	3.72	6.	0.43	2.6
-	Jonathan Plante 🇨🇦	543	1/4	JP pipeline	3.72	6.	0.43	2.6
-	Vincent Mai 🇨🇦	1895	1/4	ROS-based Lane Following	3.72	6.	0.49	0.2
-	Jonathan Plante 🇨🇦	909	1/4	JP pipeline	3.72	4.	0.19	0.4
-	Jonathan Plante 🇨🇦	881	1/4	JP pipeline	3.72	4.	0.19	0.4
-	Jonathan Plante 🇨🇦	708	1/4	JP pipeline	3.72	4.	0.26	0.6
20	Pravish Sainath 🇨🇦	1319	1/4	PyTorch DDPG template	3.1	18.	0.26	8.4
-	Pravish Sainath 🇨🇦	1085	1/4	PyTorch DDPG template	3.1	18.	0.26	8.4
21	Ruixiang Zhang 🇨🇦	904	1/4	stay simple	3.1	18.	0.26	8.4
-	Ruixiang Zhang 🇨🇦	903	1/4	PyTorch DDPG template	3.1	18.	0.26	8.4
-	Anton Mashikhin 🇷🇺	729	1/4	AI DL RL MML XXXL 2k18 yoo	3.1	18.	1.29	0.8
-	Anton Mashikhin 🇷🇺	727	1/4	AI DL RL MML XXXL 2k18 yoo	3.1	18.	1.29	0.8
-	Anton Mashikhin 🇷🇺	645	1/4	AI DL RL MML XXXL 2k18 yoo	3.1	18.	1.29	0.8
22	Gunshi Gupta 🇨🇦	1268	1/4	ROS-based Lane Following	3.1	18.	1.54	7.8
-	Gunshi Gupta 🇨🇦	1290	1/4	ROS-based Lane Following	3.1	18.	1.79	7.8
-	Vincent Mai 🇨🇦	1086	1/4	ROS-based Lane Following	3.1	16.	1.09	4.6
-	Anton Mashikhin 🇷🇺	745	1/4	AI DL RL MML XXXL 2k18 yoo	3.1	6.	0.29	0.2
-	Anton Mashikhin 🇷🇺	744	1/4	AI DL RL MML XXXL 2k18 yoo	3.1	6.	0.29	0.2
-	David Abraham	1012	1/4	Pytorch IL	3.1	4.	0.12	0.2
-	Philippe Lacaille	982	1/4	Dolores' Awakening	3.1	4.	0.18	0.6
-	Benjamin Ramtoula 🇨🇦	1157	1/4	My ROS solution	3.1	4.	0.24	0.6
-	Jonathan Plante 🇨🇦	486	1/4	JP pipeline	2.48	18.	0.82	6.4
-	Hristo Vrigazov 🇧🇬	1886	1/4	Visteon perception team	2.48	12.	0.5	4.8
-	Orlando Marquez 🇨🇦	929	1/4	Imitating	2.48	12.	0.68	1.2
-	Benjamin Ramtoula 🇨🇦	1154	1/4	My ROS solution	2.48	8.	0.21	5.8
-	Mikita Sazanovich 🇷🇺	1381	1/4	RL solution	2.48	4.	0.11	0.4
-	Philippe Lacaille	997	1/4	Dolores' Awakening	2.48	4.	0.13	0.6
-	Benjamin Ramtoula 🇨🇦	724	1/4	My modified ROS-based Lane Following	2.48	4.	0.15	0.2
-	Anton Mashikhin 🇷🇺	857	1/4	SAIC MOSCOW MML	2.48	4.	0.19	0.2
-	Benjamin Ramtoula 🇨🇦	1200	1/4	My ROS solution	2.48	4.	0.19	0.8
-	Hristo Vrigazov 🇧🇬	1829	1/4	Visteon perception team	2.48	4.	0.22	0.
-	Benjamin Ramtoula 🇨🇦	694	1/4	ROS-based Lane Following	2.48	4.	0.22	0.2
-	Benjamin Ramtoula 🇨🇦	1066	1/4	My ROS solution	2.48	4.	0.22	0.4
-	Philippe Lacaille	987	1/4	Dolores' Awakening	2.48	4.	0.22	0.4
-	Benjamin Ramtoula 🇨🇦	923	1/4	My ROS solution	2.48	4.	0.23	0.2
-	Anton Mashikhin 🇷🇺	887	1/4	SAIC MOSCOW MML	2.48	4.	0.24	1.
-	Hristo Vrigazov 🇧🇬	1812	1/4	Visteon perception team	2.48	4.	0.25	0.2
-	Hristo Vrigazov 🇧🇬	1804	1/4	Visteon perception team	2.48	4.	0.25	0.2
-	Benjamin Ramtoula 🇨🇦	1826	1/4	My ROS solution	2.48	4.	0.26	0.8
-	Hristo Vrigazov 🇧🇬	2060	1/4	Visteon perception team	2.48	4.	0.27	0.
-	Benjamin Ramtoula 🇨🇦	1977	1/4	My ROS solution	2.48	4.	0.27	1.2
-	Hristo Vrigazov 🇧🇬	1884	1/4	Visteon perception team	2.48	4.	0.28	0.2
-	Benjamin Ramtoula 🇨🇦	1108	1/4	My ROS solution	2.48	4.	0.31	0.6
-	Gunshi Gupta 🇨🇦	1235	1/4	ROS-based Lane Following	1.86	10.	0.73	2.8
-	Gunshi Gupta 🇨🇦	1254	1/4	ROS-based Lane Following	1.86	10.	0.75	3.4
-	Vincent Mai 🇨🇦	965	1/4	ROS-based Lane Following	1.86	8.	0.39	1.2
-	Anton Mashikhin 🇷🇺	851	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Anton Mashikhin 🇷🇺	846	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Anton Mashikhin 🇷🇺	832	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Anton Mashikhin 🇷🇺	831	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Anton Mashikhin 🇷🇺	830	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Anton Mashikhin 🇷🇺	829	1/4	SAIC MOSCOW MML	1.86	6.	0.18	1.6
-	Orlando Marquez 🇨🇦	1038	1/4	Imitating	1.86	6.	0.2	2.2
-	Philippe Lacaille	916	1/4	Dolores' Awakening	1.86	6.	0.35	0.2
-	Jonathan Plante 🇨🇦	569	1/4	JP pipeline	1.86	6.	0.37	2.
-	Philippe Lacaille	921	1/4	Dolores' Awakening	1.86	6.	0.39	0.2
23	Tien Nguyen	1225	1/4	ROS-based Lane Following	1.86	6.	0.48	1.
24	Mandana Samiei 🇨🇦	687	1/4	ROS-based Lane Following	1.86	6.	0.56	1.4
-	Anton Mashikhin 🇷🇺	952	1/4	SAIC MOSCOW MML	1.86	4.	0.09	0.2
-	Benjamin Ramtoula 🇨🇦	1815	1/4	My ROS solution	1.86	4.	0.11	1.2
-	Anton Mashikhin 🇷🇺	820	1/4	SAIC MOSCOW MML	1.86	4.	0.12	0.
-	Benjamin Ramtoula 🇨🇦	809	1/4	My modified ROS-based Lane Following	1.86	4.	0.13	0.2
-	Philippe Lacaille	983	1/4	Dolores' Awakening	1.86	4.	0.13	0.4
-	Benjamin Ramtoula 🇨🇦	1825	1/4	My ROS solution	1.86	4.	0.15	0.4
-	Benjamin Ramtoula 🇨🇦	1195	1/4	My ROS solution	1.86	4.	0.15	0.6
-	Benjamin Ramtoula 🇨🇦	697	1/4	My modified ROS-based Lane Following	1.86	4.	0.19	0.
-	Benjamin Ramtoula 🇨🇦	1167	1/4	My ROS solution	1.86	4.	0.19	0.4
-	Benjamin Ramtoula 🇨🇦	1203	1/4	My ROS solution	1.86	4.	0.19	1.
-	Benjamin Ramtoula 🇨🇦	1828	1/4	My ROS solution	1.86	4.	0.2	0.4
-	Anton Mashikhin 🇷🇺	730	1/4	AI DL RL MML XXXL 2k18 yoo	1.86	4.	0.23	0.2
-	Benjamin Ramtoula 🇨🇦	1202	1/4	My ROS solution	1.86	4.	0.23	0.4
-	Vincent Mai 🇨🇦	1890	1/4	ROS-based Lane Following	1.86	2.	0.05	0.2
-	Vincent Mai 🇨🇦	1216	1/4	ROS-based Lane Following	1.86	2.	0.07	0.2
-	Vincent Mai 🇨🇦	1211	1/4	ROS-based Lane Following	1.86	2.	0.07	0.2
-	Vincent Mai 🇨🇦	1205	1/4	ROS-based Lane Following	1.86	2.	0.07	0.2
-	Vincent Mai 🇨🇦	1214	1/4	ROS-based Lane Following	1.86	2.	0.08	0.2
-	Vincent Mai 🇨🇦	1213	1/4	ROS-based Lane Following	1.86	2.	0.09	0.2
-	Vincent Mai 🇨🇦	1198	1/4	ROS-based Lane Following	1.86	2.	0.09	0.2
-	Benjamin Ramtoula 🇨🇦	1740	1/4	My ROS solution	1.86	2.	0.09	0.4
-	David Abraham	963	1/4	Pytorch IL	1.86	2.	0.1	0.
-	Anton Mashikhin 🇷🇺	1303	1/4	SAIC MOSCOW MML	1.86	2.	0.1	0.2
-	Vincent Mai 🇨🇦	1204	1/4	ROS-based Lane Following	1.86	2.	0.1	0.2
-	Vincent Mai 🇨🇦	1189	1/4	ROS-based Lane Following	1.86	2.	0.1	0.2
-	Jonathan Plante 🇨🇦	840	1/4	JP pipeline	1.86	2.	0.1	0.4
-	Jonathan Plante 🇨🇦	807	1/4	JP pipeline	1.86	2.	0.1	0.4
-	David Abraham	1013	1/4	Pytorch IL	1.86	2.	0.11	0.
-	David Abraham	962	1/4	Pytorch IL	1.86	2.	0.11	0.
-	Vincent Mai 🇨🇦	1188	1/4	ROS-based Lane Following	1.86	2.	0.11	0.2
-	Jonathan Plante 🇨🇦	726	1/4	JP pipeline	1.86	2.	0.11	0.2
-	Vincent Mai 🇨🇦	1132	1/4	ROS-based Lane Following	1.86	2.	0.11	0.4
-	Philippe Lacaille	973	1/4	Dolores' Awakening	1.86	2.	0.11	0.4
-	Benjamin Ramtoula 🇨🇦	721	1/4	My modified ROS-based Lane Following	1.86	2.	0.13	0.
-	Benjamin Ramtoula 🇨🇦	810	1/4	My modified ROS-based Lane Following	1.86	2.	0.13	0.2
-	Benjamin Ramtoula 🇨🇦	1823	1/4	My ROS solution	1.86	2.	0.14	0.6
-	Benjamin Ramtoula 🇨🇦	814	1/4	My modified ROS-based Lane Following	1.86	2.	0.15	0.
-	Orlando Marquez 🇨🇦	910	1/4	Imitating	1.24	18.	0.3	0.
-	Gunshi Gupta 🇨🇦	1241	1/4	ROS-based Lane Following	1.24	10.	0.59	3.2
-	Mikita Sazanovich 🇷🇺	762	1/4	RL solution	1.24	8.	0.37	0.2
25	Krishna Murthy Jatavallabhula 🇨🇦	1147	1/4	gym_duckietown + opencv	1.24	8.	0.39	0.2
-	Krishna Murthy Jatavallabhula 🇨🇦	1143	1/4	gym_duckietown + opencv	1.24	8.	0.39	0.2
-	Gunshi Gupta 🇨🇦	1247	1/4	ROS-based Lane Following	1.24	8.	0.41	2.6
-	Gunshi Gupta 🇨🇦	1236	1/4	ROS-based Lane Following	1.24	8.	0.5	2.8
-	Mikita Sazanovich 🇷🇺	757	1/4	RL solution	1.24	6.	0.21	1.4
-	Mandana Samiei 🇨🇦	890	1/4	ROS-based Lane Following	1.24	6.	0.31	0.2
-	Tien Nguyen	1173	1/4	ROS-based Lane Following	1.24	6.	0.39	2.2
-	Jonathan Plante 🇨🇦	542	1/4	JP pipeline	1.24	4.	0.05	1.8
-	Jonathan Plante 🇨🇦	579	1/4	JP pipeline	1.24	4.	0.06	0.6
-	Jonathan Plante 🇨🇦	447	1/4	Random execution	1.24	4.	0.09	0.
-	Liam Paull 🇨🇦	1743	1/4	Random execution	1.24	4.	0.09	0.2
-	Liam Paull 🇨🇦	1742	1/4	Random execution	1.24	4.	0.09	0.2
-	Aleksandar Petrov 🇨🇭	779	1/4	Random execution	1.24	4.	0.09	0.2
-	Jonathan Plante 🇨🇦	703	1/4	Random execution	1.24	4.	0.09	0.2
-	David Abraham	609	1/4	Random execution	1.24	4.	0.09	0.2
-	Jonathan Plante 🇨🇦	448	1/4	Random execution	1.24	4.	0.1	0.
26	Maxim Kuzmin 🇷🇺	395	1/4	Random execution	1.24	4.	0.1	0.2
-	Samuel Lavoie	1030	1/4	Crazy Duke	1.24	4.	0.1	0.8
-	Anton Mashikhin 🇷🇺	358	1/4	PyTorch template	1.24	4.	0.1	1.2
-	Andrea Censi 🇨🇭	1271	1/4	Random execution	1.24	4.	0.11	0.
-	Andrea Censi 🇨🇭	795	1/4	Random execution	1.24	4.	0.11	0.
27	Zijian Dong 🇨🇳	782	1/4	AMOD18-AIDO not that random execution	1.24	4.	0.11	0.
28	Jahanvi Kolte 🇺🇸	422	1/4	Random execution	1.24	4.	0.11	0.
-	Anton Mashikhin 🇷🇺	906	1/4	SAIC MOSCOW MML	1.24	4.	0.11	0.2
-	Ruixiang Zhang 🇨🇦	466	1/4	Random execution	1.24	4.	0.11	0.2
-	Anton Mashikhin 🇷🇺	951	1/4	SAIC MOSCOW MML	1.24	4.	0.11	0.4
-	Zhenming Yang 🇨🇳	1488	1/4	Random execution	1.24	4.	0.12	0.
-	Andrea Censi 🇨🇭	765	1/4	Random execution	1.24	4.	0.12	0.
-	Liam Paull 🇨🇦	389	1/4	Random execution	1.24	4.	0.12	0.
-	Liam Paull 🇨🇦	672	1/4	Random execution	1.24	4.	0.12	0.2
-	David Abraham	624	1/4	PyTorch template	1.24	4.	0.12	1.2
-	Ruixiang Zhang 🇨🇦	468	1/4	PyTorch template	1.24	4.	0.12	1.2
29	Patrick Pfreundschuh 🇨🇭	872	1/4	AMOD18-AIDO not that random execution	1.24	4.	0.13	0.
-	Maxim Kuzmin 🇷🇺	394	1/4	Random execution	1.24	4.	0.13	0.
-	Petra Csereoka 🇷🇴	1324	1/4	Random execution	1.24	4.	0.13	0.2
30	Yun Chen 🇨🇦	1280	1/4	Random execution	1.24	4.	0.13	0.2
-	Yun Chen 🇨🇦	690	1/4	Random execution	1.24	4.	0.13	0.2
-	Pravish Sainath 🇨🇦	954	1/4	PyTorch template	1.24	4.	0.13	1.
31	Siyan Zheng 🇺🇸	419	1/4	PyTorch template	1.24	4.	0.13	1.
-	Samuel Lavoie	607	1/4	PyTorch template	1.24	4.	0.13	1.2
-	Pravish Sainath 🇨🇦	908	1/4	PyTorch template	1.24	4.	0.13	1.4
32	Iban Harlouchet 🇨🇦	651	1/4	PyTorch template	1.24	4.	0.13	1.4
-	Julian Zilly	799	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.14	0.
-	Manish Prajapat	794	1/4	AMOD18-AIDO	1.24	4.	0.14	0.
-	David Abraham	611	1/4	Random execution	1.24	4.	0.14	0.
33	Tina Chu	897	1/4	Random execution	1.24	4.	0.14	0.2
34	Marta Tintore 🇨🇭	786	1/4	AMOD18-AIDO not that random execution	1.24	4.	0.14	0.2
-	Samuel Lavoie	629	1/4	PyTorch template	1.24	4.	0.14	1.
-	Orlando Marquez 🇨🇦	844	1/4	Imitating	1.24	4.	0.15	0.
35	hanxue liang	784	1/4	Random execution	1.24	4.	0.15	0.
-	Wei Gao 🇸🇬	1498	1/4	First trial	1.24	4.	0.15	0.2
-	Dzenan Lapandic	768	1/4	Random execution	1.24	4.	0.15	0.2
-	Benjamin Ramtoula 🇨🇦	1821	1/4	My ROS solution	1.24	4.	0.15	0.6
-	Anton Mashikhin 🇷🇺	595	1/4	PyTorch template	1.24	4.	0.15	1.
-	Dzenan Lapandic	1607	1/4	Panos rgb inv_kine manual	1.24	4.	0.16	0.
-	Tri Cao 🇺🇸	1508	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.16	0.
-	Tri Cao 🇺🇸	1505	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.16	0.
-	Tri Cao 🇺🇸	1398	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.16	0.
-	Tri Cao 🇺🇸	1306	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.16	0.
-	Andrea Censi 🇨🇭	1314	1/4	Random execution	1.24	4.	0.16	0.2
-	Benjamin Ramtoula 🇨🇦	1824	1/4	My ROS solution	1.24	4.	0.16	1.
36	Laurent Mandrile	613	1/4	PyTorch template	1.24	4.	0.16	1.
-	Samuel Lavoie	1034	1/4	Young Duke	1.24	4.	0.16	1.2
37	Liu Sam 🇹🇼	592	1/4	PyTorch template	1.24	4.	0.16	1.2
-	Vincent Mai 🇨🇦	1088	1/4	ROS-based Lane Following	1.24	4.	0.16	1.6
-	Zhenming Yang 🇨🇳	1490	1/4	Random execution	1.24	4.	0.17	0.2
38	Vadim Volodin 🇷🇺	680	1/4	Random execution	1.24	4.	0.17	0.2
-	Liam Paull 🇨🇦	392	1/4	PyTorch template	1.24	4.	0.17	1.
-	Pravish Sainath 🇨🇦	360	1/4	PyTorch template	1.24	4.	0.17	1.
-	Tri Cao 🇺🇸	574	1/4	PyTorch template	1.24	4.	0.17	1.2
-	Dzenan Lapandic	1606	1/4	Panos grayscale inv_kine manual	1.24	4.	0.18	0.
-	Tri Cao 🇺🇸	1379	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.18	0.
39	Martin Shin 🇭🇰	756	1/4	PyTorch template	1.24	4.	0.18	0.8
-	Pravish Sainath 🇨🇦	355	1/4	PyTorch template	1.24	4.	0.18	1.
-	Anton Mashikhin 🇷🇺	426	1/4	PyTorch template	1.24	4.	0.18	1.4
-	Gunshi Gupta 🇨🇦	759	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.19	0.2
-	Laurent Mandrile	623	1/4	PyTorch template	1.24	4.	0.19	0.8
-	Yun Chen 🇨🇦	626	1/4	PyTorch template	1.24	4.	0.19	1.
40	Suzanne Petryk	1805	1/4	Solution using imitation learning from logs	1.24	4.	0.2	0.
-	Tri Cao 🇺🇸	1380	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.2	0.
-	Gunshi Gupta 🇨🇦	1266	1/4	ROS-based Lane Following	1.24	4.	0.2	0.
-	Orlando Marquez 🇨🇦	930	1/4	Imitating	1.24	4.	0.2	0.
-	David Abraham	605	1/4	Random execution	1.24	4.	0.2	0.2
-	Yun Chen 🇨🇦	1584	1/4	PyTorch DDPG template	1.24	4.	0.2	0.6
-	Orlando Marquez 🇨🇦	843	1/4	Imitating	1.24	4.	0.21	0.
-	Vincent Mai 🇨🇦	974	1/4	ROS-based Lane Following	1.24	4.	0.22	0.
-	Mikita Sazanovich 🇷🇺	642	1/4	Random execution	1.24	4.	0.24	0.2
-	Gianmarco Bernasconi	774	1/4	Not Random execution	1.24	4.	0.25	0.2
-	Liam Paull 🇨🇦	712	1/4	ROS-based Lane Following	1.24	4.	0.26	0.
-	Orlando Marquez 🇨🇦	833	1/4	Baseline solution using imitation learning from logs	1.24	4.	0.26	0.2
-	Tina Chu	1307	1/4	ROS-based Lane Following	1.24	4.	0.27	0.
-	Iban Harlouchet 🇨🇦	1111	1/4	ROS-based Lane Following	1.24	4.	0.27	0.
-	Mandana Samiei 🇨🇦	699	1/4	ROS-based Lane Following	1.24	4.	0.3	0.4
41	Alessandro Morra	778	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.04	0.
-	Benjamin Ramtoula 🇨🇦	1852	1/4	My ROS solution	1.24	2.	0.04	0.2
-	Benjamin Ramtoula 🇨🇦	1713	1/4	My ROS solution	1.24	2.	0.05	0.
-	Benjamin Ramtoula 🇨🇦	1702	1/4	My ROS solution	1.24	2.	0.06	0.
-	Anton Mashikhin 🇷🇺	1305	1/4	SAIC MOSCOW MML	1.24	2.	0.06	0.
-	Alessandro Morra	776	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.06	0.
-	Jonathan Plante 🇨🇦	705	1/4	JP pipeline	1.24	2.	0.06	0.
-	Diego Charrez 🇵🇪	1478	1/4	Tensorflow	1.24	2.	0.06	0.2
42	Martin Weiss 🇨🇦	1187	1/4	ROS-based Lane Following	1.24	2.	0.06	0.2
-	Martin Weiss 🇨🇦	1160	1/4	ROS-based Lane Following	1.24	2.	0.06	0.2
-	Martin Weiss 🇨🇦	1149	1/4	ROS-based Lane Following	1.24	2.	0.06	0.2
-	Martin Weiss 🇨🇦	1146	1/4	PyTorch template	1.24	2.	0.06	0.2
-	Martin Weiss 🇨🇦	1138	1/4	PyTorch template	1.24	2.	0.06	0.2
-	Anton Mashikhin 🇷🇺	854	1/4	SAIC MOSCOW MML	1.24	2.	0.06	0.2
43	Cliff Li	787	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.06	0.2
-	Cliff Li	783	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.06	0.2
44	Yannick Berdou	777	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.06	0.2
45	Benson Kuan	769	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.06	0.2
-	Jonathan Plante 🇨🇦	704	1/4	Random execution	1.24	2.	0.06	0.2
-	Jonathan Plante 🇨🇦	548	1/4	JP pipeline	1.24	2.	0.06	0.2
-	Anton Mashikhin 🇷🇺	494	1/4	AI DL RL MML XXXL 2k18 yoo	1.24	2.	0.06	0.2
-	Jonathan Plante 🇨🇦	476	1/4	JP pipeline	1.24	2.	0.06	0.2
-	Benjamin Ramtoula 🇨🇦	2041	1/4	My ROS solution	1.24	2.	0.06	0.4
-	Vincent Mai 🇨🇦	1889	1/4	ROS-based Lane Following	1.24	2.	0.07	0.
-	Benjamin Ramtoula 🇨🇦	723	1/4	My modified ROS-based Lane Following	1.24	2.	0.07	0.
-	Benjamin Ramtoula 🇨🇦	722	1/4	My modified ROS-based Lane Following	1.24	2.	0.07	0.
-	Benjamin Ramtoula 🇨🇦	2043	1/4	My ROS solution	1.24	2.	0.07	0.2
-	Benjamin Ramtoula 🇨🇦	1752	1/4	My ROS solution	1.24	2.	0.07	0.2
-	Wei Gao 🇸🇬	1548	1/4	First trial	1.24	2.	0.07	0.2
-	Vincent Mai 🇨🇦	1215	1/4	ROS-based Lane Following	1.24	2.	0.07	0.2
-	Krishna Murthy Jatavallabhula 🇨🇦	1123	1/4	gym_duckietown + opencv	1.24	2.	0.07	0.2
-	Ruixiang Zhang 🇨🇦	1056	1/4	stay young	1.24	2.	0.07	0.2
-	Ruixiang Zhang 🇨🇦	1053	1/4	stay young	1.24	2.	0.07	0.2
-	David Abraham	1051	1/4	Pytorch IL	1.24	2.	0.07	0.2
-	David Abraham	1050	1/4	Pytorch IL	1.24	2.	0.07	0.2
-	Philippe Lacaille	976	1/4	Dolores' Awakening	1.24	2.	0.07	0.2
-	Philippe Lacaille	975	1/4	Dolores' Awakening	1.24	2.	0.07	0.2
-	Benjamin Ramtoula 🇨🇦	1813	1/4	My ROS solution	1.24	2.	0.07	0.6
-	Benjamin Ramtoula 🇨🇦	2054	1/4	My ROS solution	1.24	2.	0.07	0.8
-	Benjamin Ramtoula 🇨🇦	2044	1/4	My ROS solution	1.24	2.	0.07	0.8
-	Benjamin Ramtoula 🇨🇦	1973	1/4	My ROS solution	1.24	2.	0.07	1.
-	Benjamin Ramtoula 🇨🇦	1193	1/4	My ROS solution	1.24	2.	0.08	0.
-	Wei Gao 🇸🇬	1547	1/4	First trial	1.24	2.	0.08	0.2
-	Krishna Murthy Jatavallabhula 🇨🇦	1133	1/4	gym_duckietown + opencv	1.24	2.	0.08	0.2
-	David Abraham	1105	1/4	Pytorch IL	1.24	2.	0.08	0.2
-	Benjamin Ramtoula 🇨🇦	2049	1/4	My ROS solution	1.24	2.	0.08	1.
-	Benjamin Ramtoula 🇨🇦	1978	1/4	My ROS solution	1.24	2.	0.09	0.
-	Vincent Mai 🇨🇦	1208	1/4	ROS-based Lane Following	1.24	2.	0.09	0.
-	Manfred Diaz	2191	1/4	Tensorflow template	1.24	2.	0.09	0.2
-	Wei Gao 🇸🇬	1582	1/4	First trial	1.24	2.	0.09	0.2
-	Ruixiang Zhang 🇨🇦	1109	1/4	stay young	1.24	2.	0.09	0.2
-	Philippe Lacaille	977	1/4	Dolores' Awakening	1.24	2.	0.09	0.2
-	Benjamin Ramtoula 🇨🇦	1065	1/4	My ROS solution	1.24	2.	0.09	0.4
-	Benjamin Ramtoula 🇨🇦	1165	1/4	My ROS solution	1.24	2.	0.1	0.
-	Benjamin Ramtoula 🇨🇦	702	1/4	My modified ROS-based Lane Following	1.24	2.	0.1	0.
-	Maxim Kuzmin 🇷🇺	398	1/4	Random execution	1.24	2.	0.1	0.
-	Wei Gao 🇸🇬	1589	1/4	First trial	1.24	2.	0.1	0.2
-	Benjamin Ramtoula 🇨🇦	1064	1/4	My ROS solution	1.24	2.	0.1	0.2
-	Benjamin Ramtoula 🇨🇦	2039	1/4	My ROS solution	1.24	2.	0.1	0.6
46	Amaury Camus 🇨🇭	780	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.1	0.6
-	Benjamin Ramtoula 🇨🇦	2040	1/4	My ROS solution	1.24	2.	0.1	1.
-	Benjamin Ramtoula 🇨🇦	1096	1/4	My ROS solution	1.24	2.	0.11	0.
-	Benjamin Ramtoula 🇨🇦	1092	1/4	My ROS solution	1.24	2.	0.11	0.
-	Philippe Lacaille	971	1/4	Dolores' Awakening	1.24	2.	0.11	0.2
-	Benjamin Ramtoula 🇨🇦	1830	1/4	My ROS solution	1.24	2.	0.11	0.6
-	Anton Mashikhin 🇷🇺	850	1/4	SAIC MOSCOW MML	1.24	2.	0.11	0.6
-	Anton Mashikhin 🇷🇺	845	1/4	SAIC MOSCOW MML	1.24	2.	0.11	0.6
-	Anton Mashikhin 🇷🇺	828	1/4	SAIC MOSCOW MML	1.24	2.	0.11	0.6
-	Benjamin Ramtoula 🇨🇦	2057	1/4	My ROS solution	1.24	2.	0.11	0.8
-	Anton Mashikhin 🇷🇺	847	1/4	SAIC MOSCOW MML	1.24	2.	0.12	0.
-	Anton Mashikhin 🇷🇺	821	1/4	SAIC MOSCOW MML	1.24	2.	0.12	0.
-	Liam Paull 🇨🇦	1785	1/4	Random execution	1.24	2.	0.12	0.2
-	Liam Paull 🇨🇦	1783	1/4	Random execution	1.24	2.	0.12	0.2
-	Liam Paull 🇨🇦	1754	1/4	Random execution	1.24	2.	0.12	0.2
47	Edoardo Gabbi 🇮🇹	792	1/4	Random execution	1.24	2.	0.12	0.2
48	Tomasz Firynowicz	772	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.12	0.2
49	Simon Schaefer 🇨🇭	770	1/4	AMOD18-AIDO not that random execution	1.24	2.	0.12	0.2
-	Anton Mashikhin 🇷🇺	521	1/4	AI DL RL MML XXXL 2k18 yoo	1.24	2.	0.12	0.8
-	Anton Mashikhin 🇷🇺	516	1/4	AI DL RL MML XXXL 2k18 yoo	1.24	2.	0.12	0.8
-	Benjamin Ramtoula 🇨🇦	1851	1/4	My ROS solution	1.24	2.	0.12	1.2
-	Benjamin Ramtoula 🇨🇦	2037	1/4	My ROS solution	1.24	2.	0.14	0.2
-	Benjamin Ramtoula 🇨🇦	1055	1/4	My ROS solution - param 3	0.62	18.	0.07	16.
-	Mikita Sazanovich 🇷🇺	754	1/4	PyTorch DDPG template	0.62	18.	0.16	0.
-	Mikita Sazanovich 🇷🇺	755	1/4	RL solution	0.62	18.	0.28	0.
-	Jonathan Plante 🇨🇦	550	1/4	JP pipeline	0.62	18.	0.4	0.
-	David Abraham	1246	1/4	Pytorch IL	0.62	18.	0.42	11.4
-	Ruixiang Zhang 🇨🇦	1000	1/4	stay simple	0.62	18.	0.45	8.
-	Ruixiang Zhang 🇨🇦	915	1/4	stay simple	0.62	18.	0.45	8.
-	Mikita Sazanovich 🇷🇺	717	1/4	PyTorch DDPG template	0.62	18.	0.45	8.
50	Anna Tsalapova 🇷🇺	1913	1/4	Copy of #50: sub 396 by anna.tsalapova (simple submition)	0.62	18.	0.89	0.
-	Vadim Volodin 🇷🇺	397	1/4	Random execution	0.62	18.	0.89	0.
-	Anna Tsalapova 🇷🇺	396	1/4	simple submition	0.62	18.	0.89	0.
-	Andrea Censi 🇨🇭	1912	1/4	Copy of #50: sub 396 by anna.tsalapova (simple submition)	0.62	18.	0.98	0.
51	????????? ???????	428	1/4	Random execution	0.62	18.	0.98	0.
-	Anton Mashikhin 🇷🇺	849	1/4	SAIC MOSCOW MML	0.62	14.	0.18	10.4
-	Anton Mashikhin 🇷🇺	737	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	12.	0.15	8.
-	Anton Mashikhin 🇷🇺	732	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	12.	0.15	8.
-	Anton Mashikhin 🇷🇺	731	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	12.	0.15	8.
-	Jonathan Plante 🇨🇦	485	1/4	JP pipeline	0.62	12.	0.55	5.8
-	Jonathan Plante 🇨🇦	489	1/4	JP pipeline	0.62	8.	0.1	1.2
-	Jonathan Plante 🇨🇦	488	1/4	JP pipeline	0.62	8.	0.1	1.2
-	Jonathan Plante 🇨🇦	479	1/4	JP pipeline	0.62	8.	0.23	0.8
-	Jonathan Plante 🇨🇦	478	1/4	JP pipeline	0.62	8.	0.38	0.8
-	Jonathan Plante 🇨🇦	504	1/4	JP pipeline	0.62	6.	0.01	4.4
-	Jonathan Plante 🇨🇦	507	1/4	JP pipeline	0.62	6.	0.01	4.6
-	Jonathan Plante 🇨🇦	506	1/4	JP pipeline	0.62	6.	0.01	4.6
-	Jonathan Plante 🇨🇦	508	1/4	JP pipeline	0.62	6.	0.03	1.4
-	Jonathan Plante 🇨🇦	517	1/4	JP pipeline	0.62	6.	0.08	4.6
-	Philippe Lacaille	917	1/4	Dolores' Awakening	0.62	6.	0.27	0.
-	Jonathan Plante 🇨🇦	537	1/4	JP pipeline	0.62	4.	0.05	2.
-	Jonathan Plante 🇨🇦	484	1/4	JP pipeline	0.62	4.	0.06	0.8
-	Andrea Censi 🇨🇭	740	1/4	Copy of #15: sub 574 by trimcao (PyTorch template)	0.62	4.	0.06	1.
-	David Abraham	1158	1/4	Pytorch IL	0.62	4.	0.07	2.8
-	David Abraham	1153	1/4	Pytorch IL	0.62	4.	0.07	3.6
-	Pravish Sainath 🇨🇦	364	1/4	PyTorch template	0.62	4.	0.08	1.
-	Bhairav Mehta	356	1/4	PyTorch DDPG template	0.62	4.	0.08	1.2
-	Samuel Lavoie	606	1/4	PyTorch template	0.62	4.	0.08	1.4
-	Orlando Marquez 🇨🇦	928	1/4	Imitating	0.62	4.	0.09	0.2
-	Laurent Mandrile	616	1/4	PyTorch template	0.62	4.	0.09	1.
-	Jonathan Plante 🇨🇦	584	1/4	JP pipeline	0.62	4.	0.09	1.
-	Jonathan Plante 🇨🇦	667	1/4	JP pipeline	0.62	4.	0.09	1.2
-	Jonathan Plante 🇨🇦	635	1/4	JP pipeline	0.62	4.	0.09	1.2
-	Jonathan Plante 🇨🇦	583	1/4	JP pipeline	0.62	4.	0.09	1.2
-	Jonathan Plante 🇨🇦	582	1/4	JP pipeline	0.62	4.	0.09	1.2
-	Jonathan Plante 🇨🇦	512	1/4	JP pipeline	0.62	4.	0.09	1.2
-	Jonathan Plante 🇨🇦	514	1/4	JP pipeline	0.62	4.	0.09	1.4
-	Benjamin Ramtoula 🇨🇦	959	1/4	My ROS solution - param 1	0.62	4.	0.09	1.6
-	Jonathan Plante 🇨🇦	503	1/4	JP pipeline	0.62	4.	0.09	3.4
-	Jonathan Plante 🇨🇦	637	1/4	JP pipeline	0.62	4.	0.1	1.2
-	Jonathan Plante 🇨🇦	636	1/4	JP pipeline	0.62	4.	0.1	1.2
52	Aoming Liu	788	1/4	Random execution	0.62	4.	0.11	0.2
-	Mikita Sazanovich 🇷🇺	655	1/4	DDPG	0.62	4.	0.11	0.8
-	Gunshi Gupta 🇨🇦	1260	1/4	ROS-based Lane Following	0.62	4.	0.11	1.6
53	Eric Lu	1311	1/4	Baseline solution using imitation learning from logs	0.62	4.	0.12	0.
-	Iban Harlouchet 🇨🇦	660	1/4	PyTorch template	0.62	4.	0.12	1.
-	Orlando Marquez 🇨🇦	926	1/4	Imitating	0.62	4.	0.12	1.6
-	Julian Zilly	767	1/4	Tuned lane controller - ETHZ baseline extension	0.62	4.	0.13	0.2
-	Mandana Samiei 🇨🇦	423	1/4	PyTorch template	0.62	4.	0.14	0.8
-	Gunshi Gupta 🇨🇦	1234	1/4	ROS-based Lane Following	0.62	4.	0.14	1.4
-	Samuel Lavoie	614	1/4	PyTorch template	0.62	4.	0.16	1.2
-	Hristo Vrigazov 🇧🇬	938	1/4	ROS-based Lane Following	0.62	4.	0.17	0.
-	Gunshi Gupta 🇨🇦	1249	1/4	ROS-based Lane Following	0.62	4.	0.17	1.
-	Orlando Marquez 🇨🇦	1155	1/4	Imitating	0.62	4.	0.19	0.6
-	Mikita Sazanovich 🇷🇺	1377	1/4	RL solution	0.62	4.	0.2	1.6
-	Gunshi Gupta 🇨🇦	1245	1/4	ROS-based Lane Following	0.62	4.	0.25	1.2
-	Gunshi Gupta 🇨🇦	1237	1/4	ROS-based Lane Following	0.62	4.	0.25	1.2
-	David Abraham	1043	1/4	Pytorch IL	0.62	2.	0.02	0.4
-	Anton Mashikhin 🇷🇺	1301	1/4	Template for ROS Submission	0.62	2.	0.03	0.
-	Orlando Marquez 🇨🇦	1039	1/4	Imitating	0.62	2.	0.03	0.
-	David Abraham	1015	1/4	Pytorch IL	0.62	2.	0.03	0.
-	Bhairav Mehta	432	1/4	Template for ROS Submission	0.62	2.	0.03	0.
-	Benjamin Ramtoula 🇨🇦	2067	1/4	My ROS solution	0.62	2.	0.03	0.4
-	Martin Weiss 🇨🇦	1107	1/4	PyTorch template	0.62	2.	0.03	0.4
-	Anton Mashikhin 🇷🇺	674	1/4	PyTorch template	0.62	2.	0.03	0.4
-	Gunshi Gupta 🇨🇦	1258	1/4	ROS-based Lane Following	0.62	2.	0.04	0.
-	Gunshi Gupta 🇨🇦	1255	1/4	ROS-based Lane Following	0.62	2.	0.04	0.
-	Mandana Samiei 🇨🇦	1219	1/4	Improved ROS-based Lane Following	0.62	2.	0.04	0.
-	Orlando Marquez 🇨🇦	1016	1/4	Imitating	0.62	2.	0.04	0.
-	Mandana Samiei 🇨🇦	885	1/4	ROS-based Lane Following	0.62	2.	0.04	0.
-	Anton Mashikhin 🇷🇺	523	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.04	0.
-	Jonathan Plante 🇨🇦	465	1/4	ROS-based Lane Following	0.62	2.	0.04	0.
-	Tri Cao 🇺🇸	1525	1/4	Baseline solution using imitation learning from logs	0.62	2.	0.04	0.2
-	Pravish Sainath 🇨🇦	1217	1/4	PyTorch DDPG template	0.62	2.	0.04	0.2
-	Pravish Sainath 🇨🇦	1091	1/4	PyTorch DDPG template	0.62	2.	0.04	0.2
-	Benjamin Ramtoula 🇨🇦	1820	1/4	My ROS solution	0.62	2.	0.04	0.4
-	Diego Charrez 🇵🇪	1604	1/4	Tensorflow	0.62	2.	0.04	0.4
-	Diego Charrez 🇵🇪	1603	1/4	Tensorflow	0.62	2.	0.04	0.4
-	Benjamin Ramtoula 🇨🇦	1159	1/4	My ROS solution	0.62	2.	0.04	0.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1127	1/4	gym_duckietown + opencv	0.62	2.	0.04	0.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1126	1/4	gym_duckietown + opencv	0.62	2.	0.04	0.4
-	Mandana Samiei 🇨🇦	878	1/4	PyTorch DDPG template	0.62	2.	0.04	0.4
-	Benjamin Ramtoula 🇨🇦	536	1/4	PyTorch DDPG template	0.62	2.	0.04	0.4
-	Liam Paull 🇨🇦	408	1/4	PyTorch DDPG template	0.62	2.	0.04	0.4
-	Tien Nguyen	1166	1/4	ROS-based Lane Following	0.62	2.	0.04	0.6
-	Laurent Mandrile	1002	1/4	Tensorflow template	0.62	2.	0.04	0.6
-	Samuel Lavoie	808	1/4	PyTorch DDPG template	0.62	2.	0.04	0.6
-	Iban Harlouchet 🇨🇦	653	1/4	Template for ROS Submission	0.62	2.	0.04	0.6
-	Diego Charrez 🇵🇪	1583	1/4	Tensorflow	0.62	2.	0.05	0.
-	Bhairav Mehta	1242	1/4	ROS-based Lane Following	0.62	2.	0.05	0.
-	Iban Harlouchet 🇨🇦	1152	1/4	ROS-based Lane Following	0.62	2.	0.05	0.
-	David Abraham	1044	1/4	Pytorch IL	0.62	2.	0.05	0.
-	Mikita Sazanovich 🇷🇺	839	1/4	RL solution	0.62	2.	0.05	0.
-	Mikita Sazanovich 🇷🇺	838	1/4	RL solution	0.62	2.	0.05	0.
-	Benjamin Ramtoula 🇨🇦	693	1/4	ROS-based Lane Following	0.62	2.	0.05	0.
-	Mandana Samiei 🇨🇦	691	1/4	ROS-based Lane Following	0.62	2.	0.05	0.
-	Anton Mashikhin 🇷🇺	498	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.05	0.
-	Bhairav Mehta	415	1/4	Template for ROS Submission	0.62	2.	0.05	0.2
-	Diego Charrez 🇵🇪	1477	1/4	Tensorflow	0.62	2.	0.05	0.4
-	David Abraham	1046	1/4	Pytorch IL	0.62	2.	0.05	0.4
-	Mandana Samiei 🇨🇦	424	1/4	PyTorch DDPG template	0.62	2.	0.05	0.4
-	Bhairav Mehta	386	1/4	PyTorch DDPG baseline	0.62	2.	0.05	0.4
-	Bhairav Mehta	346	1/4	PyTorch DDPG template	0.62	2.	0.05	0.4
-	Benjamin Ramtoula 🇨🇦	2052	1/4	My ROS solution	0.62	2.	0.05	0.6
-	Liam Paull 🇨🇦	410	1/4	Template for ROS Submission	0.62	2.	0.05	0.6
-	Liam Paull 🇨🇦	1741	1/4	Template for ROS Submission	0.62	2.	0.06	0.
-	Yun Chen 🇨🇦	841	1/4	ROS-based Lane Following	0.62	2.	0.06	0.
-	Philippe Lacaille	742	1/4	ROS-based Lane Following	0.62	2.	0.06	0.
-	Anton Mashikhin 🇷🇺	627	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.06	0.
-	Benjamin Ramtoula 🇨🇦	2065	1/4	My ROS solution	0.62	2.	0.06	0.2
-	Philippe Lacaille	979	1/4	Dolores' Awakening	0.62	2.	0.06	0.4
-	Jonathan Plante 🇨🇦	578	1/4	JP pipeline	0.62	2.	0.06	0.4
-	Jonathan Plante 🇨🇦	558	1/4	JP pipeline	0.62	2.	0.06	0.4
-	Jonathan Plante 🇨🇦	553	1/4	JP pipeline	0.62	2.	0.06	0.4
-	Philippe Lacaille	417	1/4	PyTorch DDPG template	0.62	2.	0.06	0.4
-	Jonathan Plante 🇨🇦	573	1/4	JP pipeline	0.62	2.	0.06	0.6
-	Jonathan Plante 🇨🇦	554	1/4	JP pipeline	0.62	2.	0.06	0.6
-	Benjamin Ramtoula 🇨🇦	1853	1/4	My ROS solution	0.62	2.	0.06	0.8
-	Benjamin Ramtoula 🇨🇦	1822	1/4	My ROS solution	0.62	2.	0.07	0.
-	Tri Cao 🇺🇸	1510	1/4	Baseline solution using imitation learning from logs	0.62	2.	0.07	0.
-	Anton Mashikhin 🇷🇺	1302	1/4	Template for ROS Submission	0.62	2.	0.07	0.
-	Tien Nguyen	1176	1/4	ROS-based Lane Following	0.62	2.	0.07	0.
-	Iban Harlouchet 🇨🇦	1142	1/4	ROS-based Lane Following	0.62	2.	0.07	0.
54	Luca Bonamini	798	1/4	Random execution	0.62	2.	0.07	0.
-	Mandana Samiei 🇨🇦	639	1/4	ROS-based Lane Following	0.62	2.	0.07	0.
-	Mandana Samiei 🇨🇦	1206	1/4	Improved ROS-based solution	0.62	2.	0.07	0.2
-	Jonathan Plante 🇨🇦	556	1/4	JP pipeline	0.62	2.	0.07	0.2
-	Gunshi Gupta 🇨🇦	661	1/4	Template for ROS Submission	0.62	2.	0.07	0.4
-	Jonathan Plante 🇨🇦	552	1/4	JP pipeline	0.62	2.	0.07	0.4
-	Bhairav Mehta	385	1/4	PyTorch DDPG template	0.62	2.	0.07	0.6
-	Bhairav Mehta	369	1/4	Template for ROS Submission	0.62	2.	0.07	0.6
-	Liam Paull 🇨🇦	1787	1/4	Template for ROS Submission	0.62	2.	0.07	0.8
-	Pravish Sainath 🇨🇦	919	1/4	PyTorch template	0.62	2.	0.07	0.8
-	Jonathan Plante 🇨🇦	568	1/4	JP pipeline	0.62	2.	0.07	0.8
-	Jonathan Plante 🇨🇦	564	1/4	JP pipeline	0.62	2.	0.07	0.8
-	Jonathan Plante 🇨🇦	530	1/4	JP pipeline	0.62	2.	0.07	0.8
-	Jonathan Plante 🇨🇦	566	1/4	JP pipeline	0.62	2.	0.07	1.
-	Jonathan Plante 🇨🇦	562	1/4	JP pipeline	0.62	2.	0.07	1.
-	Liam Paull 🇨🇦	1756	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Gunshi Gupta 🇨🇦	1263	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Gunshi Gupta 🇨🇦	1228	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Tien Nguyen	1223	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Iban Harlouchet 🇨🇦	1197	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Iban Harlouchet 🇨🇦	1172	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	1164	1/4	My Improved ROS-based Lane Following	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	1161	1/4	My Improved ROS-based Lane Following	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	871	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Philippe Lacaille	870	1/4	Dolores' Awakening	0.62	2.	0.08	0.
-	Bhairav Mehta	869	1/4	Dolores' Awakening	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	867	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Philippe Lacaille	864	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Bhairav Mehta	806	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Benjamin Ramtoula 🇨🇦	720	1/4	My modified ROS-based Lane Following	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	679	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Mandana Samiei 🇨🇦	638	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
-	Bhairav Mehta	413	1/4	ROS-based Lane Following	0.62	2.	0.08	0.
55	Aneri Muni	781	1/4	AMOD18-AIDO not that random execution	0.62	2.	0.08	0.2
-	Maxim Kuzmin 🇷🇺	681	1/4	Template for ROS Submission	0.62	2.	0.08	0.2
-	Jonathan Plante 🇨🇦	576	1/4	JP pipeline	0.62	2.	0.08	0.4
-	Bhairav Mehta	376	1/4	PyTorch DDPG template	0.62	2.	0.08	0.4
-	Benjamin Ramtoula 🇨🇦	2050	1/4	My ROS solution	0.62	2.	0.08	0.6
-	Gunshi Gupta 🇨🇦	1233	1/4	ROS-based Lane Following	0.62	2.	0.08	0.6
-	Jonathan Plante 🇨🇦	571	1/4	JP pipeline	0.62	2.	0.08	0.8
-	Bhairav Mehta	349	1/4	PyTorch DDPG template	0.62	2.	0.08	1.
56	Wenhui Zhang 🇺🇸	1386	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Gunshi Gupta 🇨🇦	1261	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Gunshi Gupta 🇨🇦	1256	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Tien Nguyen	1221	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Mandana Samiei 🇨🇦	1220	1/4	Improved ROS-based Lane Following	0.62	2.	0.09	0.
-	Iban Harlouchet 🇨🇦	1184	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Tien Nguyen	1178	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Mandana Samiei 🇨🇦	1061	1/4	bazinga!!!	0.62	2.	0.09	0.
-	Mandana Samiei 🇨🇦	1059	1/4	bazinga!!!	0.62	2.	0.09	0.
-	Mandana Samiei 🇨🇦	866	1/4	Improved ROS-based Lane Following	0.62	2.	0.09	0.
-	Philippe Lacaille	751	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Vadim Volodin 🇷🇺	714	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Anna Tsalapova 🇷🇺	686	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Vadim Volodin 🇷🇺	683	1/4	Random execution	0.62	2.	0.09	0.
-	Benjamin Ramtoula 🇨🇦	416	1/4	ROS-based Lane Following	0.62	2.	0.09	0.
-	Allen Ou	589	1/4	Random execution	0.62	2.	0.09	0.2
-	Anton Mashikhin 🇷🇺	675	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	534	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	531	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	527	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	526	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	525	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	524	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Anton Mashikhin 🇷🇺	493	1/4	AI DL RL MML XXXL 2k18 yoo	0.62	2.	0.09	0.4
-	Liam Paull 🇨🇦	1395	1/4	Template for ROS Submission	0.62	2.	0.09	0.6
-	Jonathan Plante 🇨🇦	581	1/4	JP pipeline	0.62	2.	0.09	0.8
-	Jonathan Plante 🇨🇦	580	1/4	JP pipeline	0.62	2.	0.09	0.8
57	Guoxiang Zhou	1534	1/4	Random execution	0.62	2.	0.1	0.
-	Bhairav Mehta	1239	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Iban Harlouchet 🇨🇦	1212	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Mandana Samiei 🇨🇦	1052	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Gianmarco Bernasconi	817	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Mikita Sazanovich 🇷🇺	789	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Vincent Mai 🇨🇦	746	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Benjamin Ramtoula 🇨🇦	713	1/4	My modified ROS-based Lane Following	0.62	2.	0.1	0.
-	Benjamin Ramtoula 🇨🇦	695	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Mandana Samiei 🇨🇦	692	1/4	ROS-based Lane Following	0.62	2.	0.1	0.
-	Jonathan Plante 🇨🇦	539	1/4	Random execution	0.62	2.	0.1	0.
-	Liam Paull 🇨🇦	1749	1/4	Template for ROS Submission	0.62	2.	0.1	0.2
-	Andrea Censi 🇨🇭	1270	1/4	Random execution	0.62	2.	0.1	0.2
-	David Abraham	608	1/4	Random execution	0.62	2.	0.1	0.2
-	Gunshi Gupta 🇨🇦	1238	1/4	ROS-based Lane Following	0.62	2.	0.1	0.8
-	Benjamin Ramtoula 🇨🇦	1788	1/4	My ROS solution	0.62	2.	0.11	0.
-	Yun Chen 🇨🇦	1279	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Gunshi Gupta 🇨🇦	1265	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Philippe Lacaille	875	1/4	Dolores' Awakening	0.62	2.	0.11	0.
-	Gunshi Gupta 🇨🇦	818	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Benjamin Ramtoula 🇨🇦	719	1/4	My modified ROS-based Lane Following	0.62	2.	0.11	0.
-	Mandana Samiei 🇨🇦	715	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Benjamin Ramtoula 🇨🇦	711	1/4	My modified ROS-based Lane Following	0.62	2.	0.11	0.
-	Benjamin Ramtoula 🇨🇦	698	1/4	My modified ROS-based Lane Following	0.62	2.	0.11	0.
-	Mandana Samiei 🇨🇦	678	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Dzenan Lapandic	513	1/4	Baseline solution using imitation learning from logs	0.62	2.	0.11	0.
-	Mandana Samiei 🇨🇦	490	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Mandana Samiei 🇨🇦	460	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Bhairav Mehta	414	1/4	ROS-based Lane Following	0.62	2.	0.11	0.
-	Jonathan Plante 🇨🇦	538	1/4	Random execution	0.62	2.	0.11	0.2
-	Amaury Camus 🇨🇭	773	1/4	AMOD18-AIDO not that random execution	0.62	2.	0.11	0.4
-	David Abraham	615	1/4	PyTorch template	0.62	2.	0.11	0.8
-	Jonathan Plante 🇨🇦	570	1/4	JP pipeline	0.62	2.	0.11	1.
-	Gunshi Gupta 🇨🇦	1259	1/4	ROS-based Lane Following	0.62	2.	0.12	0.
-	Iban Harlouchet 🇨🇦	1162	1/4	ROS-based Lane Following	0.62	2.	0.12	0.
-	Mandana Samiei 🇨🇦	1156	1/4	My Improved ROS-based Lane Following	0.62	2.	0.12	0.
-	Bhairav Mehta	868	1/4	Dolores' Awakening	0.62	2.	0.12	0.
-	Benjamin Ramtoula 🇨🇦	710	1/4	My modified ROS-based Lane Following	0.62	2.	0.12	0.
-	Anna Tsalapova 🇷🇺	685	1/4	ROS-based Lane Following	0.62	2.	0.12	0.
-	Maxim Kuzmin 🇷🇺	684	1/4	ROS-based Lane Following	0.62	2.	0.12	0.
-	Gunshi Gupta 🇨🇦	676	1/4	ROS-based Lane Following	0.62	2.	0.12	0.
-	Gunshi Gupta 🇨🇦	1264	1/4	ROS-based Lane Following	0.62	2.	0.13	0.
-	Bhairav Mehta	1262	1/4	ROS-based Lane Following	0.62	2.	0.13	0.
-	Tien Nguyen	1222	1/4	ROS-based Lane Following	0.62	2.	0.13	0.
-	Hristo Vrigazov 🇧🇬	933	1/4	ROS-based Lane Following	0.62	2.	0.14	0.
-	Benjamin Ramtoula 🇨🇦	886	1/4	ROS-based Lane Following	0.62	2.	0.14	0.
-	Siyan Zheng 🇺🇸	487	1/4	ROS-based Lane Following	0.62	2.	0.14	0.
-	Yun Chen 🇨🇦	1554	1/4	PyTorch DDPG template	0.62	2.	0.14	0.4
-	Iban Harlouchet 🇨🇦	1175	1/4	ROS-based Lane Following	0.62	2.	0.15	0.
-	Mandana Samiei 🇨🇦	682	1/4	ROS-based Lane Following	0.62	2.	0.15	0.
-	Hristo Vrigazov 🇧🇬	456	1/4	ROS-based Lane Following	0.62	2.	0.15	0.
-	Iban Harlouchet 🇨🇦	1207	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Tien Nguyen	1177	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Iban Harlouchet 🇨🇦	1150	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Vincent Mai 🇨🇦	969	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Philippe Lacaille	801	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Maxim Kuzmin 🇷🇺	761	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Mandana Samiei 🇨🇦	696	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Mandana Samiei 🇨🇦	688	1/4	ROS-based Lane Following	0.62	2.	0.16	0.
-	Benjamin Ramtoula 🇨🇦	438	1/4	ROS-based Lane Following	0.62	2.	0.17	0.
-	Tien Nguyen	1224	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Iban Harlouchet 🇨🇦	1210	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Tien Nguyen	1181	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Tien Nguyen	1179	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Vincent Mai 🇨🇦	972	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Vincent Mai 🇨🇦	748	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Mandana Samiei 🇨🇦	652	1/4	ROS-based Lane Following	0.62	2.	0.18	0.
-	Iban Harlouchet 🇨🇦	1124	1/4	ROS-based Lane Following	0.62	2.	0.19	0.
-	Julian Zilly	646	1/4	ROS-based Lane Following	0.62	2.	0.19	0.
-	Benjamin Ramtoula 🇨🇦	812	1/4	My modified ROS-based Lane Following	-0.	18.	0.36	8.4
-	Yun Chen 🇨🇦	1619	1/4	PyTorch DDPG template	-0.	18.	0.42	8.4
-	Diego Charrez 🇵🇪	1975	1/4	PyTorch Sagemaker template	-0.	18.	0.43	8.4
-	Diego Charrez 🇵🇪	1887	1/4	PyTorch Sagemaker template	-0.	18.	0.43	8.4
-	Yun Chen 🇨🇦	1654	1/4	PyTorch DDPG template	-0.	18.	0.43	8.4
-	Yun Chen 🇨🇦	1635	1/4	PyTorch DDPG template	-0.	18.	0.43	8.4
-	Yun Chen 🇨🇦	1630	1/4	PyTorch DDPG template	-0.	18.	0.43	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1119	1/4	gym_duckietown + opencv	-0.	18.	0.43	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1113	1/4	gym_duckietown + opencv	-0.	18.	0.43	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1112	1/4	gym_duckietown + opencv	-0.	18.	0.43	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1100	1/4	gym_duckietown + opencv	-0.	18.	0.43	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1148	1/4	gym_duckietown + opencv	-0.	18.	0.46	8.4
-	Krishna Murthy Jatavallabhula 🇨🇦	1135	1/4	gym_duckietown + opencv	-0.	18.	0.46	8.4
-	Benjamin Ramtoula 🇨🇦	813	1/4	My modified ROS-based Lane Following	-0.	18.	0.52	8.4
-	Jonathan Plante 🇨🇦	842	1/4	JP Pipeline	-0.	18.	0.68	0.
-	David Abraham	1014	1/4	Pytorch IL	-0.	18.	1.23	8.
-	shandonguniversity &&Inspur 🇨🇳	1481	1/4	Nvidia CNN	-0.	4.	0.01	2.
-	Inspur- team 🇨🇳	1394	1/4	Nvidia CNN	-0.	4.	0.01	2.
-	Benjamin Ramtoula 🇨🇦	961	1/4	My ROS solution - param 3	-0.	2.	0.04	0.6
-	Benjamin Ramtoula 🇨🇦	960	1/4	My ROS solution - param 2	-0.	2.	0.06	0.6
-	Pravish Sainath 🇨🇦	1047	1/4	PyTorch DDPG template	-0.62	18.	0.5	8.2
-	Yun Chen 🇨🇦	1569	1/4	PyTorch DDPG template	-0.62	18.	0.52	8.2
-	Yun Chen 🇨🇦	1248	1/4	PyTorch DDPG template	-0.62	18.	0.64	8.4
-	Pravish Sainath 🇨🇦	1049	1/4	PyTorch DDPG template	-0.62	18.	0.76	8.
-	Yun Chen 🇨🇦	1281	1/4	PyTorch DDPG template	-0.62	18.	0.82	8.4
-	Ruixiang Zhang 🇨🇦	902	1/4	PyTorch DDPG template	-0.62	18.	0.91	8.6
-	Florian Golemo	1321	1/4	PyTorch DDPG template	-0.62	16.	0.89	7.8
-	Anton Mashikhin 🇷🇺	628	1/4	AI DL RL MML XXXL 2k18 yoo	-1.86	18.	0.21	8.4
-	Anton Mashikhin 🇷🇺	522	1/4	AI DL RL MML XXXL 2k18 yoo	-1.86	18.	0.22	8.4
-	Anton Mashikhin 🇷🇺	495	1/4	AI DL RL MML XXXL 2k18 yoo	-1.86	18.	0.22	8.4
-	Yun Chen 🇨🇦	1282	1/4	PyTorch template	-2.48	18.	0.26	8.4
-	Ruixiang Zhang 🇨🇦	1201	1/4	stay young	-2.48	18.	0.26	8.4
58	Jason Chun Lok Li 🇭🇰	956	1/4	PyTorch template	-2.48	18.	0.26	8.4
-	Pravish Sainath 🇨🇦	955	1/4	PyTorch template	-2.48	18.	0.26	8.4
-	Martin Weiss 🇨🇦	894	1/4	PyTorch template	-2.48	18.	0.26	8.4