Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | Anton Mashikhin 🇷🇺 | 2133 | 1/4 | Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML) | 19.22 | 18. | 0.72 | 0. |
2 | Wei Gao 🇸🇬 | 2132 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 18.6 | 18. | 0.6 | 0. |
- | Wei Gao 🇸🇬 | 2072 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 17.98 | 18. | 0.29 | 0. |
3 | Benjamin Ramtoula 🇨🇦 | 2137 | 1/4 | Copy of #6: sub 1063 by Benjamin (My ROS solution) | 13.64 | 18. | 1.43 | 1.2 |
4 | Jonathan Plante 🇨🇦 | 2135 | 1/4 | Copy of #4: sub 1684 by Jon (JP pipeline) | 11.16 | 12. | 0.77 | 0. |
5 | Vincent Mai 🇨🇦 | 2136 | 1/4 | Copy of #5: sub 1033 by VincentMai (ROS-based Lane Following) | 9.3 | 10. | 0.98 | 2.2 |
6 | Hristo Vrigazov 🇧🇬 | 2142 | 1/4 | Copy of #11: sub 1552 by hvrigazov (Visteon perception team) | 5.58 | 18. | 1.02 | 0.8 |
7 | Tri Cao 🇺🇸 | 2148 | 1/4 | Copy of #17: sub 1515 by trimcao (Tensorflow template) | 5.58 | 10. | 0.38 | 0.2 |
8 | shandonguniversity &&Inspur 🇨🇳 | 2145 | 1/4 | Copy of #14: sub 1482 by shandonguniversityInspur (Inspur CNN) | 5.58 | 10. | 0.38 | 0.2 |
9 | Petra Csereoka 🇷🇴 | 2149 | 1/4 | Copy of #18: sub 1378 by melorian (Tensorflow template) | 5.58 | 10. | 0.43 | 0.2 |
10 | Marius Hodel | 2147 | 1/4 | Copy of #16: sub 1832 by madelhorius (Tensorflow template) | 5.58 | 10. | 0.43 | 0.2 |
11 | Allen Ou | 2143 | 1/4 | Copy of #12: sub 590 by Allen Ou (Tensorflow template) | 5.58 | 10. | 0.43 | 0.2 |
12 | Inspur- team 🇨🇳 | 2144 | 1/4 | Copy of #13: sub 1363 by tongqiusui (Tensorflow template) | 5.58 | 10. | 0.51 | 0. |
13 | Zhenming Yang 🇨🇳 | 2146 | 1/4 | Copy of #15: sub 1491 by yangzm11 (Tensorflow template) | 5.58 | 10. | 0.51 | 0.2 |
14 | Orlando Marquez 🇨🇦 | 2140 | 1/4 | Copy of #9: sub 436 by [email protected] (PyTorch DDPG template) | 4.96 | 18. | 1.05 | 1.8 |
15 | Samuel Lavoie | 2138 | 1/4 | Copy of #7: sub 819 by lavoiems (Baby Duke) | 4.96 | 8. | 0.42 | 0.2 |
16 | Mikita Sazanovich 🇷🇺 | 2134 | 1/4 | Copy of #3: sub 1859 by miksaz (JetBrains Research) | 4.96 | 6. | 0.57 | 0.4 |
17 | Philippe Lacaille | 2141 | 1/4 | Copy of #10: sub 985 by placaille (Dolores Awakening) | 4.34 | 6. | 0.38 | 1.2 |
18 | Pravish Sainath 🇨🇦 | 2152 | 1/4 | Copy of #21: sub 1085 by pravishsainath (PyTorch DDPG template) | 3.1 | 18. | 0.41 | 8.4 |
19 | Gunshi Gupta 🇨🇦 | 2153 | 1/4 | Copy of #22: sub 1268 by gunshi (ROS-based Lane Following) | 1.24 | 18. | 0.37 | 12.2 |
20 | Siyan Zheng 🇺🇸 | 2162 | 1/4 | Copy of #31: sub 419 by happyduckie (PyTorch template) | 1.24 | 4. | 0.11 | 1. |
21 | Iban Harlouchet 🇨🇦 | 2163 | 1/4 | Copy of #32: sub 651 by iban_alex (PyTorch template) | 1.24 | 4. | 0.13 | 1. |
22 | Jahanvi Kolte 🇺🇸 | 2158 | 1/4 | Copy of #27: sub 422 by jahanvi (Random execution) | 1.24 | 4. | 0.14 | 0.6 |
23 | Liu Sam 🇹🇼 | 2168 | 1/4 | Copy of #37: sub 592 by coolcat647 (PyTorch template) | 1.24 | 4. | 0.14 | 1.2 |
24 | Zijian Dong 🇨🇳 | 2159 | 1/4 | Copy of #28: sub 782 by zjdong (AMOD18-AIDO not that random execution) | 1.24 | 4. | 0.15 | 0.6 |
25 | Marta Tintore 🇨🇭 | 2164 | 1/4 | Copy of #33: sub 786 by martatintore (AMOD18-AIDO not that random execution) | 1.24 | 4. | 0.19 | 0.8 |
26 | Patrick Pfreundschuh 🇨🇭 | 2160 | 1/4 | Copy of #29: sub 872 by patripfr (AMOD18-AIDO not that random execution) | 1.24 | 4. | 0.2 | 0.8 |
27 | Diego Charrez 🇵🇪 | 2150 | 1/4 | Copy of #19: sub 1479 by dcharrez (Tensorflow) | 1.24 | 2. | 0.08 | 0.2 |
28 | Martin Shin 🇭🇰 | 2170 | 1/4 | Copy of #39: sub 756 by marshin (PyTorch template) | 1.24 | 2. | 0.15 | 0.8 |
29 | ????????? ??????? | 2182 | 1/4 | Copy of #51: sub 428 by Sashkasem (Random execution) | 0.62 | 18. | 0.77 | 0. |
30 | Anna Tsalapova 🇷🇺 | 2181 | 1/4 | Copy of #50: sub 396 by anna.tsalapova (simple submition) | 0.62 | 18. | 0.9 | 0. |
31 | Krishna Murthy Jatavallabhula 🇨🇦 | 2156 | 1/4 | Copy of #25: sub 1143 by krishna (gym_duckietown + opencv) | 0.62 | 6. | 0.4 | 1.6 |
32 | Vadim Volodin 🇷🇺 | 2169 | 1/4 | Copy of #38: sub 680 by PolyProgrammist (Random execution) | 0.62 | 4. | 0.11 | 0.6 |
33 | Yun Chen 🇨🇦 | 2161 | 1/4 | Copy of #30: sub 690 by yun chen (Random execution) | 0.62 | 4. | 0.12 | 0.6 |
34 | Maxim Kuzmin 🇷🇺 | 2157 | 1/4 | Copy of #26: sub 395 by Maxim Kuzmin (Random execution) | 0.62 | 4. | 0.12 | 0.6 |
35 | Tina Chu | 2165 | 1/4 | Copy of #34: sub 897 by inat777 (Random execution) | 0.62 | 4. | 0.13 | 0.6 |
36 | Aneri Muni | 2186 | 1/4 | Copy of #55: sub 781 by amuni (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.13 | 1. |
37 | Aoming Liu | 2183 | 1/4 | Copy of #52: sub 788 by zxcvfd13502 (Random execution) | 0.62 | 4. | 0.14 | 0.4 |
38 | Eric Lu | 2184 | 1/4 | Copy of #53: sub 1311 by Eric Lu (Baseline solution using imitation learning from logs) | 0.62 | 4. | 0.15 | 0.6 |
39 | Luca Bonamini | 2185 | 1/4 | Copy of #54: sub 798 by CpPI (Random execution) | 0.62 | 4. | 0.16 | 0.4 |
40 | Suzanne Petryk | 2171 | 1/4 | Copy of #40: sub 1805 by spetryk (Solution using imitation learning from logs) | 0.62 | 4. | 0.21 | 0.8 |
41 | Amaury Camus 🇨🇭 | 2177 | 1/4 | Copy of #46: sub 780 by AmaurX (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.05 | 0.2 |
42 | Martin Weiss 🇨🇦 | 2176 | 1/4 | Copy of #45: sub 1138 by daredevil (PyTorch template) | 0.62 | 2. | 0.06 | 0.4 |
43 | Cliff Li | 2175 | 1/4 | Copy of #44: sub 783 by lic (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
44 | Yannick Berdou | 2174 | 1/4 | Copy of #43: sub 777 by yanber (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
45 | Benson Kuan | 2173 | 1/4 | Copy of #42: sub 769 by kbenson (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
46 | Alessandro Morra | 2172 | 1/4 | Copy of #41: sub 778 by morraa (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
47 | Laurent Mandrile | 2167 | 1/4 | Copy of #36: sub 613 by lmandrile (PyTorch template) | 0.62 | 2. | 0.1 | 0.8 |
48 | Edoardo Gabbi 🇮🇹 | 2180 | 1/4 | Copy of #49: sub 792 by Edward (Random execution) | 0.62 | 2. | 0.12 | 0.6 |
49 | Tomasz Firynowicz | 2179 | 1/4 | Copy of #48: sub 772 by tomaszf (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.12 | 0.6 |
50 | Simon Schaefer 🇨🇭 | 2178 | 1/4 | Copy of #47: sub 770 by sischaef (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.12 | 0.6 |
51 | hanxue liang | 2166 | 1/4 | Copy of #35: sub 784 by haliang (Random execution) | 0.62 | 2. | 0.13 | 0.4 |
52 | Mandana Samiei 🇨🇦 | 2155 | 1/4 | Copy of #24: sub 687 by MandanaSamiei (ROS-based Lane Following) | 0.62 | 2. | 0.14 | 0. |
53 | Wenhui Zhang 🇺🇸 | 2187 | 1/4 | Copy of #56: sub 1386 by wenhui (ROS-based Lane Following) | 0.62 | 2. | 0.14 | 0.2 |
54 | Guoxiang Zhou | 2188 | 1/4 | Copy of #57: sub 1534 by zgxsin (Random execution) | 0.62 | 2. | 0.14 | 0.6 |
55 | Tien Nguyen | 2154 | 1/4 | Copy of #23: sub 1225 by tnd_duck18 (ROS-based Lane Following) | 0.62 | 2. | 0.23 | 0.2 |
56 | Jason Chun Lok Li 🇭🇰 | 2189 | 1/4 | Copy of #58: sub 956 by jasonlcl (PyTorch template) | -2.48 | 18. | 0.41 | 8.4 |