AI Driving Olympics Home Challenges Submissions Jobs

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

Rank (comp)Rank (tech)UserSubmissionUser labelTraveled distanceSurvival timeLateral deviationMajor infractions
50482anna.tsalapova1913Copy of #50: sub 396 by anna.tsalapova (simple submition)0.62180.890
51486Sashkasem428Random execution0.62180.980
52523zxcvfd13502788Random execution0.6240.110.2
53526Eric Lu1311Baseline solution using imitation learning from logs0.6240.120
54605CpPI798Random execution0.6220.070
55638amuni781AMOD18-AIDO not that random execution0.6220.080.2
56646wenhui1386ROS-based Lane Following0.6220.090
57673zgxsin1534Random execution0.6220.10
58774jasonlcl956PyTorch template-2.48180.268.4

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
not best476miksaz755RL solution0.62180.280
not best477Jon550JP pipeline0.62180.40
not best478David1246Pytorch IL0.62180.4211.4
not best479sodabeta1000stay simple0.62180.458
not best480sodabeta915stay simple0.62180.458
not best481miksaz717PyTorch DDPG template0.62180.458
50482anna.tsalapova1913Copy of #50: sub 396 by anna.tsalapova (simple submition)0.62180.890
not best483PolyProgrammist397Random execution0.62180.890
not best484anna.tsalapova396simple submition0.62180.890
not competing485Andrea Censi1912Copy of #50: sub 396 by anna.tsalapova (simple submition)0.62180.980
51486Sashkasem428Random execution0.62180.980
not best487heyt0ny849SAIC MOSCOW MML0.62140.1810.4
not best488heyt0ny737AI DL RL MML XXXL 2k18 yoo0.62120.158
not best489heyt0ny732AI DL RL MML XXXL 2k18 yoo0.62120.158
not best490heyt0ny731AI DL RL MML XXXL 2k18 yoo0.62120.158
not best491Jon485JP pipeline0.62120.555.8
not best492Jon489JP pipeline0.6280.11.2
not best493Jon488JP pipeline0.6280.11.2
not best494Jon479JP pipeline0.6280.230.8
not best495Jon478JP pipeline0.6280.380.8
not best496Jon504JP pipeline0.6260.014.4
not best497Jon507JP pipeline0.6260.014.6
not best498Jon506JP pipeline0.6260.014.6
not best499Jon508JP pipeline0.6260.031.4
not best500Jon517JP pipeline0.6260.084.6
not best501placaille917Dolores' Awakening0.6260.270
not best502Jon537JP pipeline0.6240.052
not best503Jon484JP pipeline0.6240.060.8
not competing504Andrea Censi740Copy of #15: sub 574 by trimcao (PyTorch template)0.6240.061
not best505David1158Pytorch IL0.6240.072.8
not best506David1153Pytorch IL0.6240.073.6
not best507pravishsainath364PyTorch template0.6240.081
not competing508Bhairav Mehta356PyTorch DDPG template0.6240.081.2
not best509lavoiems606PyTorch template0.6240.081.4
not best510orlando.m.bol@gmail.com928Imitating0.6240.090.2
not best511lmandrile616PyTorch template0.6240.091
not best512Jon584JP pipeline0.6240.091
not best513Jon667JP pipeline0.6240.091.2
not best514Jon635JP pipeline0.6240.091.2
not best515Jon583JP pipeline0.6240.091.2
not best516Jon582JP pipeline0.6240.091.2
not best517Jon512JP pipeline0.6240.091.2
not best518Jon514JP pipeline0.6240.091.4
not best519Benjamin959My ROS solution - param 10.6240.091.6
not best520Jon503JP pipeline0.6240.093.4
not best521Jon637JP pipeline0.6240.11.2
not best522Jon636JP pipeline0.6240.11.2
52523zxcvfd13502788Random execution0.6240.110.2
not best524miksaz655DDPG0.6240.110.8
not best525gunshi1260ROS-based Lane Following0.6240.111.6
53526Eric Lu1311Baseline solution using imitation learning from logs0.6240.120
not best527iban_alex660PyTorch template0.6240.121
not best528orlando.m.bol@gmail.com926Imitating0.6240.121.6
not competing529Julian Zilly767Tuned lane controller - ETHZ baseline extension0.6240.130.2
not best530MandanaSamiei423PyTorch template0.6240.140.8
not best531gunshi1234ROS-based Lane Following0.6240.141.4
not best532lavoiems614PyTorch template0.6240.161.2
not best533hvrigazov938ROS-based Lane Following0.6240.170
not best534gunshi1249ROS-based Lane Following0.6240.171
not best535orlando.m.bol@gmail.com1155Imitating0.6240.190.6
not best536miksaz1377RL solution0.6240.21.6
not best537gunshi1245ROS-based Lane Following0.6240.251.2
not best538gunshi1237ROS-based Lane Following0.6240.251.2
not best539David1043Pytorch IL0.6220.020.4
not best540heyt0ny1301Template for ROS Submission0.6220.030
not best541orlando.m.bol@gmail.com1039Imitating0.6220.030
not best542David1015Pytorch IL0.6220.030
not competing543Bhairav Mehta432Template for ROS Submission0.6220.030
not best544Benjamin2067My ROS solution0.6220.030.4
not best545daredevil1107PyTorch template0.6220.030.4
not best546heyt0ny674PyTorch template0.6220.030.4
not best547gunshi1258ROS-based Lane Following0.6220.040
not best548gunshi1255ROS-based Lane Following0.6220.040
not best549MandanaSamiei1219Improved ROS-based Lane Following0.6220.040
not best550orlando.m.bol@gmail.com1016Imitating0.6220.040
not best551MandanaSamiei885ROS-based Lane Following0.6220.040
not best552heyt0ny523AI DL RL MML XXXL 2k18 yoo0.6220.040
not best553Jon465ROS-based Lane Following0.6220.040
not best554trimcao1525Baseline solution using imitation learning from logs0.6220.040.2
not best555pravishsainath1217PyTorch DDPG template0.6220.040.2
not best556pravishsainath1091PyTorch DDPG template0.6220.040.2
not best557Benjamin1820My ROS solution0.6220.040.4
not best558dcharrez1604Tensorflow0.6220.040.4
not best559dcharrez1603Tensorflow0.6220.040.4
not best560Benjamin1159My ROS solution0.6220.040.4
not best561krishna1127gym_duckietown + opencv0.6220.040.4
not best562krishna1126gym_duckietown + opencv0.6220.040.4
not best563MandanaSamiei878PyTorch DDPG template0.6220.040.4
not best564Benjamin536PyTorch DDPG template0.6220.040.4
not competing565Liam Paull408PyTorch DDPG template0.6220.040.4
not best566tnd_duck181166ROS-based Lane Following0.6220.040.6
not best567lmandrile1002Tensorflow template0.6220.040.6
not best568lavoiems808PyTorch DDPG template0.6220.040.6
not best569iban_alex653Template for ROS Submission0.6220.040.6
not best570dcharrez1583Tensorflow0.6220.050
not competing571Bhairav Mehta1242ROS-based Lane Following0.6220.050
not best572iban_alex1152ROS-based Lane Following0.6220.050
not best573David1044Pytorch IL0.6220.050
not best574miksaz839RL solution0.6220.050
not best575miksaz838RL solution0.6220.050
not best576Benjamin693ROS-based Lane Following0.6220.050
not best577MandanaSamiei691ROS-based Lane Following0.6220.050
not best578heyt0ny498AI DL RL MML XXXL 2k18 yoo0.6220.050
not competing579Bhairav Mehta415Template for ROS Submission0.6220.050.2
not best580dcharrez1477Tensorflow0.6220.050.4
not best581David1046Pytorch IL0.6220.050.4
not best582MandanaSamiei424PyTorch DDPG template0.6220.050.4
not competing583Bhairav Mehta386PyTorch DDPG baseline0.6220.050.4
not competing584Bhairav Mehta346PyTorch DDPG template0.6220.050.4
not best585Benjamin2052My ROS solution0.6220.050.6
not competing586Liam Paull410Template for ROS Submission0.6220.050.6
not competing587Liam Paull1741Template for ROS Submission0.6220.060
not best588yun chen841ROS-based Lane Following0.6220.060
not best589placaille742ROS-based Lane Following0.6220.060
not best590heyt0ny627AI DL RL MML XXXL 2k18 yoo0.6220.060
not best591Benjamin2065My ROS solution0.6220.060.2
not best592placaille979Dolores' Awakening0.6220.060.4
not best593Jon578JP pipeline0.6220.060.4
not best594Jon558JP pipeline0.6220.060.4
not best595Jon553JP pipeline0.6220.060.4
not best596placaille417PyTorch DDPG template0.6220.060.4
not best597Jon573JP pipeline0.6220.060.6
not best598Jon554JP pipeline0.6220.060.6
not best599Benjamin1853My ROS solution0.6220.060.8
not best600Benjamin1822My ROS solution0.6220.070
not best601trimcao1510Baseline solution using imitation learning from logs0.6220.070
not best602heyt0ny1302Template for ROS Submission0.6220.070
not best603tnd_duck181176ROS-based Lane Following0.6220.070
not best604iban_alex1142ROS-based Lane Following0.6220.070
54605CpPI798Random execution0.6220.070
not best606MandanaSamiei639ROS-based Lane Following0.6220.070
not best607MandanaSamiei1206Improved ROS-based solution0.6220.070.2
not best608Jon556JP pipeline0.6220.070.2
not best609gunshi661Template for ROS Submission0.6220.070.4
not best610Jon552JP pipeline0.6220.070.4
not competing611Bhairav Mehta385PyTorch DDPG template0.6220.070.6
not competing612Bhairav Mehta369Template for ROS Submission0.6220.070.6
not competing613Liam Paull1787Template for ROS Submission0.6220.070.8
not best614pravishsainath919PyTorch template0.6220.070.8
not best615Jon568JP pipeline0.6220.070.8
not best616Jon564JP pipeline0.6220.070.8
not best617Jon530JP pipeline0.6220.070.8
not best618Jon566JP pipeline0.6220.071
not best619Jon562JP pipeline0.6220.071
not competing620Liam Paull1756ROS-based Lane Following0.6220.080
not best621gunshi1263ROS-based Lane Following0.6220.080
not best622gunshi1228ROS-based Lane Following0.6220.080
not best623tnd_duck181223ROS-based Lane Following0.6220.080
not best624iban_alex1197ROS-based Lane Following0.6220.080
not best625iban_alex1172ROS-based Lane Following0.6220.080
not best626MandanaSamiei1164My Improved ROS-based Lane Following0.6220.080
not best627MandanaSamiei1161My Improved ROS-based Lane Following0.6220.080
not best628MandanaSamiei871ROS-based Lane Following0.6220.080
not best629placaille870Dolores' Awakening0.6220.080
not competing630Bhairav Mehta869Dolores' Awakening0.6220.080
not best631MandanaSamiei867ROS-based Lane Following0.6220.080
not best632placaille864ROS-based Lane Following0.6220.080
not competing633Bhairav Mehta806ROS-based Lane Following0.6220.080
not best634Benjamin720My modified ROS-based Lane Following0.6220.080
not best635MandanaSamiei679ROS-based Lane Following0.6220.080
not best636MandanaSamiei638ROS-based Lane Following0.6220.080
not competing637Bhairav Mehta413ROS-based Lane Following0.6220.080
55638amuni781AMOD18-AIDO not that random execution0.6220.080.2
not best639Maxim Kuzmin681Template for ROS Submission0.6220.080.2
not best640Jon576JP pipeline0.6220.080.4
not competing641Bhairav Mehta376PyTorch DDPG template0.6220.080.4
not best642Benjamin2050My ROS solution0.6220.080.6
not best643gunshi1233ROS-based Lane Following0.6220.080.6
not best644Jon571JP pipeline0.6220.080.8
not competing645Bhairav Mehta349PyTorch DDPG template0.6220.081
56646wenhui1386ROS-based Lane Following0.6220.090
not best647gunshi1261ROS-based Lane Following0.6220.090
not best648gunshi1256ROS-based Lane Following0.6220.090
not best649tnd_duck181221ROS-based Lane Following0.6220.090
not best650MandanaSamiei1220Improved ROS-based Lane Following0.6220.090
not best651iban_alex1184ROS-based Lane Following0.6220.090
not best652tnd_duck181178ROS-based Lane Following0.6220.090
not best653MandanaSamiei1061bazinga!!!0.6220.090
not best654MandanaSamiei1059bazinga!!!0.6220.090
not best655MandanaSamiei866Improved ROS-based Lane Following0.6220.090
not best656placaille751ROS-based Lane Following0.6220.090
not best657PolyProgrammist714ROS-based Lane Following0.6220.090
not best658anna.tsalapova686ROS-based Lane Following0.6220.090
not best659PolyProgrammist683Random execution0.6220.090
not best660Benjamin416ROS-based Lane Following0.6220.090
not best661Allen Ou589Random execution0.6220.090.2
not best662heyt0ny675AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best663heyt0ny534AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best664heyt0ny531AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best665heyt0ny527AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best666heyt0ny526AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best667heyt0ny525AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best668heyt0ny524AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not best669heyt0ny493AI DL RL MML XXXL 2k18 yoo0.6220.090.4
not competing670Liam Paull1395Template for ROS Submission0.6220.090.6
not best671Jon581JP pipeline0.6220.090.8
not best672Jon580JP pipeline0.6220.090.8
57673zgxsin1534Random execution0.6220.10
not competing674Bhairav Mehta1239ROS-based Lane Following0.6220.10
not best675iban_alex1212ROS-based Lane Following0.6220.10
not best676MandanaSamiei1052ROS-based Lane Following0.6220.10
not competing677Gianmarco Bernasconi 817ROS-based Lane Following0.6220.10
not best678miksaz789ROS-based Lane Following0.6220.10
not best679VincentMai746ROS-based Lane Following0.6220.10
not best680Benjamin713My modified ROS-based Lane Following0.6220.10
not best681Benjamin695ROS-based Lane Following0.6220.10
not best682MandanaSamiei692ROS-based Lane Following0.6220.10
not best683Jon539Random execution0.6220.10
not competing684Liam Paull1749Template for ROS Submission0.6220.10.2
not competing685Andrea Censi1270Random execution0.6220.10.2
not best686David608Random execution0.6220.10.2
not best687gunshi1238ROS-based Lane Following0.6220.10.8
not best688Benjamin1788My ROS solution0.6220.110
not best689yun chen1279ROS-based Lane Following0.6220.110
not best690gunshi1265ROS-based Lane Following0.6220.110
not best691placaille875Dolores' Awakening0.6220.110
not best692gunshi818ROS-based Lane Following0.6220.110
not best693Benjamin719My modified ROS-based Lane Following0.6220.110
not best694MandanaSamiei715ROS-based Lane Following0.6220.110
not best695Benjamin711My modified ROS-based Lane Following0.6220.110
not best696Benjamin698My modified ROS-based Lane Following0.6220.110
not best697MandanaSamiei678ROS-based Lane Following0.6220.110
not competing698Dzenan Lapandic513Baseline solution using imitation learning from logs0.6220.110
not best699MandanaSamiei490ROS-based Lane Following0.6220.110
not best700MandanaSamiei460ROS-based Lane Following0.6220.110
not competing701Bhairav Mehta414ROS-based Lane Following0.6220.110
not best702Jon538Random execution0.6220.110.2
not best703AmaurX773AMOD18-AIDO not that random execution0.6220.110.4
not best704David615PyTorch template0.6220.110.8
not best705Jon570JP pipeline0.6220.111
not best706gunshi1259ROS-based Lane Following0.6220.120
not best707iban_alex1162ROS-based Lane Following0.6220.120
not best708MandanaSamiei1156My Improved ROS-based Lane Following0.6220.120
not competing709Bhairav Mehta868Dolores' Awakening0.6220.120
not best710Benjamin710My modified ROS-based Lane Following0.6220.120
not best711anna.tsalapova685ROS-based Lane Following0.6220.120
not best712Maxim Kuzmin684ROS-based Lane Following0.6220.120
not best713gunshi676ROS-based Lane Following0.6220.120
not best714gunshi1264ROS-based Lane Following0.6220.130
not competing715Bhairav Mehta1262ROS-based Lane Following0.6220.130
not best716tnd_duck181222ROS-based Lane Following0.6220.130
not best717hvrigazov933ROS-based Lane Following0.6220.140
not best718Benjamin886ROS-based Lane Following0.6220.140
not best719happyduckie487ROS-based Lane Following0.6220.140
not best720yun chen1554PyTorch DDPG template0.6220.140.4
not best721iban_alex1175ROS-based Lane Following0.6220.150
not best722MandanaSamiei682ROS-based Lane Following0.6220.150
not best723hvrigazov456ROS-based Lane Following0.6220.150
not best724iban_alex1207ROS-based Lane Following0.6220.160
not best725tnd_duck181177ROS-based Lane Following0.6220.160
not best726iban_alex1150ROS-based Lane Following0.6220.160
not best727VincentMai969ROS-based Lane Following0.6220.160
not best728placaille801ROS-based Lane Following0.6220.160
not best729Maxim Kuzmin761ROS-based Lane Following0.6220.160
not best730MandanaSamiei696ROS-based Lane Following0.6220.160
not best731MandanaSamiei688ROS-based Lane Following0.6220.160
not best732Benjamin438ROS-based Lane Following0.6220.170
not best733tnd_duck181224ROS-based Lane Following0.6220.180
not best734iban_alex1210ROS-based Lane Following0.6220.180
not best735tnd_duck181181ROS-based Lane Following0.6220.180
not best736tnd_duck181179ROS-based Lane Following0.6220.180
not best737VincentMai972ROS-based Lane Following0.6220.180
not best738VincentMai748ROS-based Lane Following0.6220.180
not best739MandanaSamiei652ROS-based Lane Following0.6220.180
not best740iban_alex1124ROS-based Lane Following0.6220.190
not competing741Julian Zilly646ROS-based Lane Following0.6220.190
not best742Benjamin812My modified ROS-based Lane Following0180.368.4
not best743yun chen1619PyTorch DDPG template0180.428.4
not best744dcharrez1975PyTorch Sagemaker template0180.438.4
not best745dcharrez1887PyTorch Sagemaker template0180.438.4
not best746yun chen1654PyTorch DDPG template0180.438.4
not best747yun chen1635PyTorch DDPG template0180.438.4
not best748yun chen1630PyTorch DDPG template0180.438.4
not best749krishna1119gym_duckietown + opencv0180.438.4
not best750krishna1113gym_duckietown + opencv0180.438.4
not best751krishna1112gym_duckietown + opencv0180.438.4
not best752krishna1100gym_duckietown + opencv0180.438.4
not best753krishna1148gym_duckietown + opencv0180.468.4
not best754krishna1135gym_duckietown + opencv0180.468.4
not best755Benjamin813My modified ROS-based Lane Following0180.528.4
not best756Jon842JP Pipeline0180.680
not best757David1014Pytorch IL0181.238
not best758shandonguniversityInspur1481Nvidia CNN040.012
not best759tongqiusui1394Nvidia CNN040.012
not best760Benjamin961My ROS solution - param 3020.040.6
not best761Benjamin960My ROS solution - param 2020.060.6
not best762pravishsainath1047PyTorch DDPG template-0.62180.58.2
not best763yun chen1569PyTorch DDPG template-0.62180.528.2
not best764yun chen1248PyTorch DDPG template-0.62180.648.4
not best765pravishsainath1049PyTorch DDPG template-0.62180.768
not best766yun chen1281PyTorch DDPG template-0.62180.828.4
not best767sodabeta902PyTorch DDPG template-0.62180.918.6
not competing768Florian Golemo1321PyTorch DDPG template-0.62160.897.8
not best769heyt0ny628AI DL RL MML XXXL 2k18 yoo-1.86180.218.4
not best770heyt0ny522AI DL RL MML XXXL 2k18 yoo-1.86180.228.4
not best771heyt0ny495AI DL RL MML XXXL 2k18 yoo-1.86180.228.4
not best772yun chen1282PyTorch template-2.48180.268.4
not best773sodabeta1201stay young-2.48180.268.4
58774jasonlcl956PyTorch template-2.48180.268.4
not best775pravishsainath955PyTorch template-2.48180.268.4
not best776daredevil894PyTorch template-2.48180.268.4