Rank (user) | User | Submission | complete | User label | Traveled distance↑ | Survival time↑ | Lateral deviation ↓ | Major infractions ↓ |
1 | Anton Mashikhin 🇷🇺 | 1779 | 1/4 | SAIC MOSCOW MML | 1.24 | 18. | 0.26 | 0. |
2 | Wei Gao 🇸🇬 | 2051 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.25 | 0.4 |
- | Wei Gao 🇸🇬 | 1729 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 18. | 0.26 | 0. |
- | Wei Gao 🇸🇬 | 2055 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.27 | 0. |
- | Wei Gao 🇸🇬 | 2018 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.27 | 0.2 |
- | Wei Gao 🇸🇬 | 2053 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.28 | 0. |
- | Wei Gao 🇸🇬 | 2069 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 0.62 | 18. | 0.28 | 0.2 |
- | Wei Gao 🇸🇬 | 2066 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.29 | 0. |
- | Wei Gao 🇸🇬 | 2062 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.29 | 0. |
- | Wei Gao 🇸🇬 | 1808 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.29 | 0. |
- | Wei Gao 🇸🇬 | 1807 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.29 | 0.2 |
- | Wei Gao 🇸🇬 | 1819 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.3 | 0. |
- | Wei Gao 🇸🇬 | 1809 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.3 | 0. |
- | Wei Gao 🇸🇬 | 1781 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 18. | 0.31 | 0. |
- | Wei Gao 🇸🇬 | 1758 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 18. | 0.31 | 0. |
- | Anton Mashikhin 🇷🇺 | 1980 | 1/4 | Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML) | 0.62 | 18. | 0.4 | 0. |
3 | Pravish Sainath 🇨🇦 | 1998 | 1/4 | Copy of #21: sub 1085 by pravishsainath (PyTorch DDPG template) | 0.62 | 18. | 0.45 | 8.4 |
4 | Ruixiang Zhang 🇨🇦 | 1997 | 1/4 | Copy of #20: sub 903 by sodabeta (PyTorch DDPG template) | 0.62 | 18. | 0.45 | 8.4 |
5 | ????????? ??????? | 2028 | 1/4 | Copy of #51: sub 428 by Sashkasem (Random execution) | 0.62 | 18. | 0.64 | 0. |
6 | Anna Tsalapova 🇷🇺 | 2027 | 1/4 | Copy of #50: sub 396 by anna.tsalapova (simple submition) | 0.62 | 18. | 0.64 | 0. |
7 | David Abraham | 1893 | 1/4 | Pytorch IL | 0.62 | 18. | 0.64 | 3.2 |
8 | Orlando Marquez 🇨🇦 | 1987 | 1/4 | Copy of #9: sub 436 by [email protected] (PyTorch DDPG template) | 0.62 | 18. | 1.1 | 1.8 |
9 | Gunshi Gupta 🇨🇦 | 1999 | 1/4 | Copy of #22: sub 1268 by gunshi (ROS-based Lane Following) | 0.62 | 18. | 2.09 | 0. |
10 | Benjamin Ramtoula 🇨🇦 | 1984 | 1/4 | Copy of #6: sub 1063 by Benjamin (My ROS solution) | 0.62 | 18. | 2.23 | 0. |
- | David Abraham | 2058 | 1/4 | Pytorch IL | 0.62 | 12. | 0.48 | 0. |
- | Anton Mashikhin 🇷🇺 | 2070 | 1/4 | Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML) | 0.62 | 10. | 0.24 | 0.2 |
- | David Abraham | 1986 | 1/4 | Copy of #8: sub 1139 by David (Pytorch IL) | 0.62 | 10. | 0.27 | 0.4 |
- | Wei Gao 🇸🇬 | 1707 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 10. | 0.31 | 0.2 |
- | Wei Gao 🇸🇬 | 1979 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 0.62 | 8. | 0.16 | 0. |
- | Andrea Censi 🇨🇭 | 1907 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 0.62 | 8. | 0.16 | 0. |
- | Andrea Censi 🇨🇭 | 1897 | 1/4 | Copy of #1: sub 1633 by WEIGAO (First trial) | 0.62 | 8. | 0.16 | 0. |
- | Wei Gao 🇸🇬 | 2048 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 8. | 0.18 | 0.6 |
- | Dzenan Lapandic | 560 | 1/4 | Baseline solution using imitation learning from logs | 0.62 | 8. | 0.24 | 2.4 |
- | Dzenan Lapandic | 555 | 1/4 | Baseline solution using imitation learning from logs | 0.62 | 8. | 0.24 | 2.4 |
11 | Krishna Murthy Jatavallabhula 🇨🇦 | 2002 | 1/4 | Copy of #25: sub 1143 by krishna (gym_duckietown + opencv) | 0.62 | 8. | 0.4 | 1.6 |
- | Wei Gao 🇸🇬 | 1848 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 6. | 0.1 | 1.4 |
12 | Jonathan Plante 🇨🇦 | 668 | 1/4 | JP pipeline | 0.62 | 6. | 0.13 | 2. |
- | Wei Gao 🇸🇬 | 1706 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 6. | 0.27 | 0.2 |
13 | Hristo Vrigazov 🇧🇬 | 1989 | 1/4 | Copy of #11: sub 1552 by hvrigazov (Visteon perception team) | 0.62 | 6. | 0.32 | 0.8 |
14 | Tri Cao 🇺🇸 | 1627 | 1/4 | Tensorflow template | 0.62 | 6. | 0.38 | 2. |
15 | Wenhui Zhang 🇺🇸 | 2033 | 1/4 | Copy of #56: sub 1386 by wenhui (ROS-based Lane Following) | 0.62 | 6. | 0.4 | 0.4 |
- | Wei Gao 🇸🇬 | 2036 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.06 | 0.4 |
- | Wei Gao 🇸🇬 | 1838 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.06 | 0.6 |
- | Wei Gao 🇸🇬 | 2046 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.07 | 0.6 |
- | Wei Gao 🇸🇬 | 2045 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.07 | 0.6 |
- | Wei Gao 🇸🇬 | 2047 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.08 | 0.6 |
- | Wei Gao 🇸🇬 | 2042 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.08 | 1.2 |
- | Wei Gao 🇸🇬 | 1836 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.09 | 0.4 |
- | Wei Gao 🇸🇬 | 2038 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.09 | 0.8 |
16 | Guoxiang Zhou | 2034 | 1/4 | Copy of #57: sub 1534 by zgxsin (Random execution) | 0.62 | 4. | 0.09 | 0.8 |
17 | Marta Tintore 🇨🇭 | 2009 | 1/4 | Copy of #33: sub 786 by martatintore (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.1 | 0.8 |
18 | Patrick Pfreundschuh 🇨🇭 | 2005 | 1/4 | Copy of #29: sub 872 by patripfr (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.11 | 0.6 |
19 | hanxue liang | 2011 | 1/4 | Copy of #35: sub 784 by haliang (Random execution) | 0.62 | 4. | 0.11 | 0.8 |
20 | Zijian Dong 🇨🇳 | 2004 | 1/4 | Copy of #28: sub 782 by zjdong (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.11 | 0.8 |
21 | Aneri Muni | 2032 | 1/4 | Copy of #55: sub 781 by amuni (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.11 | 1.2 |
- | Wei Gao 🇸🇬 | 1840 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 4. | 0.12 | 0.4 |
22 | Edoardo Gabbi 🇮🇹 | 2026 | 1/4 | Copy of #49: sub 792 by Edward (Random execution) | 0.62 | 4. | 0.12 | 0.6 |
23 | Tomasz Firynowicz | 2025 | 1/4 | Copy of #48: sub 772 by tomaszf (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.12 | 0.6 |
24 | Simon Schaefer 🇨🇭 | 2024 | 1/4 | Copy of #47: sub 770 by sischaef (AMOD18-AIDO not that random execution) | 0.62 | 4. | 0.12 | 0.6 |
- | Wei Gao 🇸🇬 | 1727 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 4. | 0.12 | 0.6 |
25 | Yun Chen 🇨🇦 | 2006 | 1/4 | Copy of #30: sub 690 by yun chen (Random execution) | 0.62 | 4. | 0.12 | 0.8 |
- | Dzenan Lapandic | 1310 | 1/4 | LFV bd test | 0.62 | 4. | 0.12 | 0.8 |
26 | Aoming Liu | 2029 | 1/4 | Copy of #52: sub 788 by zxcvfd13502 (Random execution) | 0.62 | 4. | 0.13 | 0.8 |
27 | Luca Bonamini | 2031 | 1/4 | Copy of #54: sub 798 by CpPI (Random execution) | 0.62 | 4. | 0.14 | 0.8 |
28 | Vadim Volodin 🇷🇺 | 2014 | 1/4 | Copy of #38: sub 680 by PolyProgrammist (Random execution) | 0.62 | 4. | 0.14 | 0.8 |
29 | Eric Lu | 2030 | 1/4 | Copy of #53: sub 1311 by Eric Lu (Baseline solution using imitation learning from logs) | 0.62 | 4. | 0.14 | 1. |
30 | Jahanvi Kolte 🇺🇸 | 2003 | 1/4 | Copy of #27: sub 422 by jahanvi (Random execution) | 0.62 | 4. | 0.15 | 0.8 |
31 | Philippe Lacaille | 1988 | 1/4 | Copy of #10: sub 985 by placaille (Dolores Awakening) | 0.62 | 4. | 0.17 | 0.2 |
- | Dzenan Lapandic | 528 | 1/4 | Baseline solution using imitation learning from logs | 0.62 | 4. | 0.17 | 0.2 |
- | Dzenan Lapandic | 518 | 1/4 | Baseline solution using imitation learning from logs | 0.62 | 4. | 0.17 | 0.2 |
- | Dzenan Lapandic | 1330 | 1/4 | LFV bd test | 0.62 | 4. | 0.19 | 0.2 |
- | Andrea Censi 🇨🇭 | 1315 | 1/4 | Random execution | 0.62 | 4. | 0.19 | 0.8 |
- | Dzenan Lapandic | 1605 | 1/4 | Panos grayscale inv_kine manual | 0.62 | 4. | 0.2 | 0. |
32 | Tien Nguyen | 2000 | 1/4 | Copy of #23: sub 1225 by tnd_duck18 (ROS-based Lane Following) | 0.62 | 4. | 0.2 | 0.2 |
- | Dzenan Lapandic | 1293 | 1/4 | LFV bd test | 0.62 | 4. | 0.2 | 0.2 |
33 | Suzanne Petryk | 2016 | 1/4 | Copy of #40: sub 1805 by spetryk (Solution using imitation learning from logs) | 0.62 | 4. | 0.2 | 0.8 |
- | Andrea Censi 🇨🇭 | 766 | 1/4 | Random execution | 0.62 | 4. | 0.2 | 0.8 |
34 | Vincent Mai 🇨🇦 | 1983 | 1/4 | Copy of #5: sub 1033 by VincentMai (ROS-based Lane Following) | 0.62 | 4. | 0.22 | 0.2 |
35 | Tina Chu | 2010 | 1/4 | Copy of #34: sub 897 by inat777 (Random execution) | 0.62 | 4. | 0.23 | 0.8 |
36 | Mikita Sazanovich 🇷🇺 | 2071 | 1/4 | Copy of #3: sub 1859 by miksaz (JetBrains Research) | 0.62 | 4. | 0.29 | 0.2 |
- | Mikita Sazanovich 🇷🇺 | 1981 | 1/4 | Copy of #3: sub 1859 by miksaz (JetBrains Research) | 0.62 | 4. | 0.38 | 0.2 |
- | Wei Gao 🇸🇬 | 1709 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 2. | 0.03 | 0.4 |
- | Wei Gao 🇸🇬 | 1723 | 1/4 | NUS&PANASONIC_R&D_SINGAPORE | 0.62 | 2. | 0.04 | 0.4 |
- | Wei Gao 🇸🇬 | 2059 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.05 | 0. |
37 | Alessandro Morra | 2017 | 1/4 | Copy of #41: sub 778 by morraa (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.05 | 0.4 |
- | Wei Gao 🇸🇬 | 1976 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.05 | 0.4 |
- | Wei Gao 🇸🇬 | 1834 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.05 | 0.4 |
38 | Amaury Camus 🇨🇭 | 2023 | 1/4 | Copy of #46: sub 780 by AmaurX (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.2 |
39 | Martin Weiss 🇨🇦 | 2022 | 1/4 | Copy of #45: sub 1138 by daredevil (PyTorch template) | 0.62 | 2. | 0.06 | 0.4 |
40 | Cliff Li | 2021 | 1/4 | Copy of #44: sub 783 by lic (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
41 | Yannick Berdou | 2020 | 1/4 | Copy of #43: sub 777 by yanber (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
42 | Benson Kuan | 2019 | 1/4 | Copy of #42: sub 769 by kbenson (AMOD18-AIDO not that random execution) | 0.62 | 2. | 0.06 | 0.4 |
43 | Diego Charrez 🇵🇪 | 1996 | 1/4 | Copy of #19: sub 1479 by dcharrez (Tensorflow) | 0.62 | 2. | 0.06 | 0.4 |
- | Wei Gao 🇸🇬 | 1974 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.06 | 0.4 |
- | Wei Gao 🇸🇬 | 1874 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.06 | 0.4 |
- | Wei Gao 🇸🇬 | 1844 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.06 | 0.4 |
- | Wei Gao 🇸🇬 | 1867 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.06 | 0.6 |
44 | Siyan Zheng 🇺🇸 | 2007 | 1/4 | Copy of #31: sub 419 by happyduckie (PyTorch template) | 0.62 | 2. | 0.06 | 0.8 |
45 | Iban Harlouchet 🇨🇦 | 2008 | 1/4 | Copy of #32: sub 651 by iban_alex (PyTorch template) | 0.62 | 2. | 0.06 | 1. |
- | Wei Gao 🇸🇬 | 1846 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.07 | 0.6 |
46 | Liu Sam 🇹🇼 | 2013 | 1/4 | Copy of #37: sub 592 by coolcat647 (PyTorch template) | 0.62 | 2. | 0.07 | 0.8 |
- | Andrea Censi 🇨🇭 | 336 | 1/4 | Tensorflow template | 0.62 | 2. | 0.08 | 0. |
- | Andrea Censi 🇨🇭 | 382 | 1/4 | Tensorflow template | 0.62 | 2. | 0.08 | 0.2 |
- | Andrea Censi 🇨🇭 | 334 | 1/4 | Tensorflow template | 0.62 | 2. | 0.08 | 0.2 |
- | Wei Gao 🇸🇬 | 1860 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.08 | 0.4 |
47 | Martin Shin 🇭🇰 | 2015 | 1/4 | Copy of #39: sub 756 by marshin (PyTorch template) | 0.62 | 2. | 0.08 | 0.8 |
48 | Laurent Mandrile | 2012 | 1/4 | Copy of #36: sub 613 by lmandrile (PyTorch template) | 0.62 | 2. | 0.08 | 0.8 |
49 | Samuel Lavoie | 1985 | 1/4 | Copy of #7: sub 819 by lavoiems (Baby Duke) | 0.62 | 2. | 0.1 | 0. |
- | Wei Gao 🇸🇬 | 1849 | 1/4 | Panasonic R&D Center Singapore & NUS | 0.62 | 2. | 0.1 | 0.4 |
50 | Petra Csereoka 🇷🇴 | 1995 | 1/4 | Copy of #18: sub 1378 by melorian (Tensorflow template) | 0.62 | 2. | 0.12 | 0. |
51 | Marius Hodel | 1993 | 1/4 | Copy of #16: sub 1832 by madelhorius (Tensorflow template) | 0.62 | 2. | 0.12 | 0. |
- | Tri Cao 🇺🇸 | 1516 | 1/4 | Tensorflow template | 0.62 | 2. | 0.12 | 0.2 |
52 | Zhenming Yang 🇨🇳 | 1493 | 1/4 | Random execution | 0.62 | 2. | 0.12 | 0.8 |
53 | Inspur- team 🇨🇳 | 1991 | 1/4 | Copy of #13: sub 1363 by tongqiusui (Tensorflow template) | 0.62 | 2. | 0.13 | 0.2 |
- | Tri Cao 🇺🇸 | 1994 | 1/4 | Copy of #17: sub 1515 by trimcao (Tensorflow template) | 0.62 | 2. | 0.14 | 0.2 |
- | Tri Cao 🇺🇸 | 1520 | 1/4 | Tensorflow template | 0.62 | 2. | 0.14 | 0.2 |
54 | Mandana Samiei 🇨🇦 | 2001 | 1/4 | Copy of #24: sub 687 by MandanaSamiei (ROS-based Lane Following) | 0.62 | 2. | 0.16 | 0.2 |
- | Zhenming Yang 🇨🇳 | 1992 | 1/4 | Copy of #15: sub 1491 by yangzm11 (Tensorflow template) | 0.62 | 2. | 0.18 | 0. |
55 | Allen Ou | 1990 | 1/4 | Copy of #12: sub 590 by Allen Ou (Tensorflow template) | 0.62 | 2. | 0.18 | 0. |
- | Zhenming Yang 🇨🇳 | 1544 | 1/4 | Tensorflow template | 0.62 | 2. | 0.18 | 0. |
56 | Jason Chun Lok Li 🇭🇰 | 2035 | 1/4 | Copy of #58: sub 956 by jasonlcl (PyTorch template) | -0. | 18. | 0.46 | 8.4 |
- | Martin Weiss 🇨🇦 | 895 | 1/4 | PyTorch template | -0. | 18. | 0.46 | 8.4 |
- | Diego Charrez 🇵🇪 | 1873 | 1/4 | PyTorch DDPG template | -0. | 16. | 0.46 | 6.8 |