AI Driving Olympics Home Challenges Submissions Jobs

Leaderboard for challenge "LFV - Lane following with vehicles (rev. 1)"

Rank (comp)Rank (tech)UserSubmissionUser labelTraveled distanceSurvival timeLateral deviationMajor infractions
11heyt0ny1779SAIC MOSCOW MML1.24180.260
22WEIGAO2051Panasonic R&D Center Singapore & NUS0.62180.250.4
317pravishsainath1998Copy of #21: sub 1085 by pravishsainath (PyTorch DDPG template)0.62180.458.4
418sodabeta1997Copy of #20: sub 903 by sodabeta (PyTorch DDPG template)0.62180.458.4
519Sashkasem2028Copy of #51: sub 428 by Sashkasem (Random execution)0.62180.640
620anna.tsalapova2027Copy of #50: sub 396 by anna.tsalapova (simple submition)0.62180.640
721David1893Pytorch IL0.62180.643.2
822orlando.m.bol@gmail.com1987Copy of #9: sub 436 by orlando.m.bol@gmail.com (PyTorch DDPG template)0.62181.11.8
923gunshi1999Copy of #22: sub 1268 by gunshi (ROS-based Lane Following)0.62182.090
1024Benjamin1984Copy of #6: sub 1063 by Benjamin (My ROS solution)0.62182.230

Extended leaderboard

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

Rank (comp)Rank (tech)UserSubmissionUser labelTraveled distanceSurvival timeLateral deviationMajor infractions
11heyt0ny1779SAIC MOSCOW MML1.24180.260
22WEIGAO2051Panasonic R&D Center Singapore & NUS0.62180.250.4
not best3WEIGAO1729NUS&PANASONIC_R&D_SINGAPORE0.62180.260
not best4WEIGAO2055Panasonic R&D Center Singapore & NUS0.62180.270
not best5WEIGAO2018Panasonic R&D Center Singapore & NUS0.62180.270.2
not best6WEIGAO2053Panasonic R&D Center Singapore & NUS0.62180.280
not best7WEIGAO2069Copy of #1: sub 1633 by WEIGAO (First trial)0.62180.280.2
not best8WEIGAO2066Panasonic R&D Center Singapore & NUS0.62180.290
not best9WEIGAO2062Panasonic R&D Center Singapore & NUS0.62180.290
not best10WEIGAO1808Panasonic R&D Center Singapore & NUS0.62180.290
not best11WEIGAO1807Panasonic R&D Center Singapore & NUS0.62180.290.2
not best12WEIGAO1819Panasonic R&D Center Singapore & NUS0.62180.30
not best13WEIGAO1809Panasonic R&D Center Singapore & NUS0.62180.30
not best14WEIGAO1781Panasonic R&D Center Singapore & NUS0.62180.310
not best15WEIGAO1758NUS&PANASONIC_R&D_SINGAPORE0.62180.310
not best16heyt0ny1980Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML)0.62180.40
317pravishsainath1998Copy of #21: sub 1085 by pravishsainath (PyTorch DDPG template)0.62180.458.4
418sodabeta1997Copy of #20: sub 903 by sodabeta (PyTorch DDPG template)0.62180.458.4
519Sashkasem2028Copy of #51: sub 428 by Sashkasem (Random execution)0.62180.640
620anna.tsalapova2027Copy of #50: sub 396 by anna.tsalapova (simple submition)0.62180.640
721David1893Pytorch IL0.62180.643.2
822orlando.m.bol@gmail.com1987Copy of #9: sub 436 by orlando.m.bol@gmail.com (PyTorch DDPG template)0.62181.11.8
923gunshi1999Copy of #22: sub 1268 by gunshi (ROS-based Lane Following)0.62182.090
1024Benjamin1984Copy of #6: sub 1063 by Benjamin (My ROS solution)0.62182.230
not best25David2058Pytorch IL0.62120.480
not best26heyt0ny2070Copy of #2: sub 1579 by heyt0ny (SAIC MOSCOW MML)0.62100.240.2
not best27David1986Copy of #8: sub 1139 by David (Pytorch IL)0.62100.270.4
not best28WEIGAO1707NUS&PANASONIC_R&D_SINGAPORE0.62100.310.2
not best29WEIGAO1979Copy of #1: sub 1633 by WEIGAO (First trial)0.6280.160
not competing30Andrea Censi1907Copy of #1: sub 1633 by WEIGAO (First trial)0.6280.160
not competing31Andrea Censi1897Copy of #1: sub 1633 by WEIGAO (First trial)0.6280.160
not best32WEIGAO2048Panasonic R&D Center Singapore & NUS0.6280.180.6
not competing33Dzenan Lapandic560Baseline solution using imitation learning from logs0.6280.242.4
not competing34Dzenan Lapandic555Baseline solution using imitation learning from logs0.6280.242.4
1135krishna2002Copy of #25: sub 1143 by krishna (gym_duckietown + opencv)0.6280.41.6
not best36WEIGAO1848Panasonic R&D Center Singapore & NUS0.6260.11.4
1237Jon668JP pipeline0.6260.132
not best38WEIGAO1706NUS&PANASONIC_R&D_SINGAPORE0.6260.270.2
1339hvrigazov1989Copy of #11: sub 1552 by hvrigazov (Visteon perception team)0.6260.320.8
1440trimcao1627Tensorflow template0.6260.382
1541wenhui2033Copy of #56: sub 1386 by wenhui (ROS-based Lane Following)0.6260.40.4
not best42WEIGAO2036Panasonic R&D Center Singapore & NUS0.6240.060.4
not best43WEIGAO1838Panasonic R&D Center Singapore & NUS0.6240.060.6
not best44WEIGAO2046Panasonic R&D Center Singapore & NUS0.6240.070.6
not best45WEIGAO2045Panasonic R&D Center Singapore & NUS0.6240.070.6
not best46WEIGAO2047Panasonic R&D Center Singapore & NUS0.6240.080.6
not best47WEIGAO2042Panasonic R&D Center Singapore & NUS0.6240.081.2
not best48WEIGAO1836Panasonic R&D Center Singapore & NUS0.6240.090.4
not best49WEIGAO2038Panasonic R&D Center Singapore & NUS0.6240.090.8
1650zgxsin2034Copy of #57: sub 1534 by zgxsin (Random execution)0.6240.090.8
1751martatintore2009Copy of #33: sub 786 by martatintore (AMOD18-AIDO not that random execution)0.6240.10.8
1852patripfr2005Copy of #29: sub 872 by patripfr (AMOD18-AIDO not that random execution)0.6240.110.6
1953haliang2011Copy of #35: sub 784 by haliang (Random execution)0.6240.110.8
2054zjdong2004Copy of #28: sub 782 by zjdong (AMOD18-AIDO not that random execution)0.6240.110.8
2155amuni2032Copy of #55: sub 781 by amuni (AMOD18-AIDO not that random execution)0.6240.111.2
not best56WEIGAO1840Panasonic R&D Center Singapore & NUS0.6240.120.4
2257Edward2026Copy of #49: sub 792 by Edward (Random execution)0.6240.120.6
2358tomaszf2025Copy of #48: sub 772 by tomaszf (AMOD18-AIDO not that random execution)0.6240.120.6
2459sischaef2024Copy of #47: sub 770 by sischaef (AMOD18-AIDO not that random execution)0.6240.120.6
not best60WEIGAO1727NUS&PANASONIC_R&D_SINGAPORE0.6240.120.6
2561yun chen2006Copy of #30: sub 690 by yun chen (Random execution)0.6240.120.8
not competing62Dzenan Lapandic1310LFV bd test0.6240.120.8
2663zxcvfd135022029Copy of #52: sub 788 by zxcvfd13502 (Random execution)0.6240.130.8
2764CpPI2031Copy of #54: sub 798 by CpPI (Random execution)0.6240.140.8
2865PolyProgrammist2014Copy of #38: sub 680 by PolyProgrammist (Random execution)0.6240.140.8
2966Eric Lu2030Copy of #53: sub 1311 by Eric Lu (Baseline solution using imitation learning from logs)0.6240.141
3067jahanvi2003Copy of #27: sub 422 by jahanvi (Random execution)0.6240.150.8
3168placaille1988Copy of #10: sub 985 by placaille (Dolores Awakening)0.6240.170.2
not competing69Dzenan Lapandic528Baseline solution using imitation learning from logs0.6240.170.2
not competing70Dzenan Lapandic518Baseline solution using imitation learning from logs0.6240.170.2
not competing71Dzenan Lapandic1330LFV bd test0.6240.190.2
not competing72Andrea Censi1315Random execution0.6240.190.8
not competing73Dzenan Lapandic1605Panos grayscale inv_kine manual0.6240.20
3274tnd_duck182000Copy of #23: sub 1225 by tnd_duck18 (ROS-based Lane Following)0.6240.20.2
not competing75Dzenan Lapandic1293LFV bd test0.6240.20.2
3376spetryk2016Copy of #40: sub 1805 by spetryk (Solution using imitation learning from logs)0.6240.20.8
not competing77Andrea Censi766Random execution0.6240.20.8
3478VincentMai1983Copy of #5: sub 1033 by VincentMai (ROS-based Lane Following)0.6240.220.2
3579inat7772010Copy of #34: sub 897 by inat777 (Random execution)0.6240.230.8
3680miksaz2071Copy of #3: sub 1859 by miksaz (JetBrains Research)0.6240.290.2
not best81miksaz1981Copy of #3: sub 1859 by miksaz (JetBrains Research)0.6240.380.2
not best82WEIGAO1709NUS&PANASONIC_R&D_SINGAPORE0.6220.030.4
not best83WEIGAO1723NUS&PANASONIC_R&D_SINGAPORE0.6220.040.4
not best84WEIGAO2059Panasonic R&D Center Singapore & NUS0.6220.050
3785morraa2017Copy of #41: sub 778 by morraa (AMOD18-AIDO not that random execution)0.6220.050.4
not best86WEIGAO1976Panasonic R&D Center Singapore & NUS0.6220.050.4
not best87WEIGAO1834Panasonic R&D Center Singapore & NUS0.6220.050.4
3888AmaurX2023Copy of #46: sub 780 by AmaurX (AMOD18-AIDO not that random execution)0.6220.060.2
3989daredevil2022Copy of #45: sub 1138 by daredevil (PyTorch template)0.6220.060.4
4090lic2021Copy of #44: sub 783 by lic (AMOD18-AIDO not that random execution)0.6220.060.4
4191yanber2020Copy of #43: sub 777 by yanber (AMOD18-AIDO not that random execution)0.6220.060.4
4292kbenson2019Copy of #42: sub 769 by kbenson (AMOD18-AIDO not that random execution)0.6220.060.4
4393dcharrez1996Copy of #19: sub 1479 by dcharrez (Tensorflow)0.6220.060.4
not best94WEIGAO1974Panasonic R&D Center Singapore & NUS0.6220.060.4
not best95WEIGAO1874Panasonic R&D Center Singapore & NUS0.6220.060.4
not best96WEIGAO1844Panasonic R&D Center Singapore & NUS0.6220.060.4
not best97WEIGAO1867Panasonic R&D Center Singapore & NUS0.6220.060.6
4498happyduckie2007Copy of #31: sub 419 by happyduckie (PyTorch template)0.6220.060.8
4599iban_alex2008Copy of #32: sub 651 by iban_alex (PyTorch template)0.6220.061
not best100WEIGAO1846Panasonic R&D Center Singapore & NUS0.6220.070.6
46101coolcat6472013Copy of #37: sub 592 by coolcat647 (PyTorch template)0.6220.070.8
not competing102Andrea Censi336Tensorflow template0.6220.080
not competing103Andrea Censi382Tensorflow template0.6220.080.2
not competing104Andrea Censi334Tensorflow template0.6220.080.2
not best105WEIGAO1860Panasonic R&D Center Singapore & NUS0.6220.080.4
47106marshin2015Copy of #39: sub 756 by marshin (PyTorch template)0.6220.080.8
48107lmandrile2012Copy of #36: sub 613 by lmandrile (PyTorch template)0.6220.080.8
49108lavoiems1985Copy of #7: sub 819 by lavoiems (Baby Duke)0.6220.10
not best109WEIGAO1849Panasonic R&D Center Singapore & NUS0.6220.10.4
50110melorian1995Copy of #18: sub 1378 by melorian (Tensorflow template)0.6220.120
51111madelhorius1993Copy of #16: sub 1832 by madelhorius (Tensorflow template)0.6220.120
not best112trimcao1516Tensorflow template0.6220.120.2
52113yangzm111493Random execution0.6220.120.8
53114tongqiusui1991Copy of #13: sub 1363 by tongqiusui (Tensorflow template)0.6220.130.2
not best115trimcao1994Copy of #17: sub 1515 by trimcao (Tensorflow template)0.6220.140.2
not best116trimcao1520Tensorflow template0.6220.140.2
54117MandanaSamiei2001Copy of #24: sub 687 by MandanaSamiei (ROS-based Lane Following)0.6220.160.2
not best118yangzm111992Copy of #15: sub 1491 by yangzm11 (Tensorflow template)0.6220.180
55119Allen Ou1990Copy of #12: sub 590 by Allen Ou (Tensorflow template)0.6220.180
not best120yangzm111544Tensorflow template0.6220.180
56121jasonlcl2035Copy of #58: sub 956 by jasonlcl (PyTorch template)0180.468.4
not best122daredevil895PyTorch template0180.468.4
not best123dcharrez1873PyTorch DDPG template0160.466.8