Leaderboard for challenge "[old] Lane following (rev 2)"

Last computed: 2024-11-22 00:24:22+00:00

Rank (user)	User	Submission	complete	User label	traveled_tiles_median↑	survival_time_mean↑	good_angle_mean ↓	valid_direction_mean ↓
1	Brian Wang 🇺🇸	187	1/2	ROS-based Lane Following	4.	7.426667	6.234452	3.233333
2	Vadim Volodin 🇷🇺	95	1/2	Random execution	3.	16.613333	10.129178	11.266667
3	Suzanne Petryk	222	1/2	Random execution	3.	16.613333	11.285663	11.546667
4	Christina Chang	186	1/2	Random execution	3.	16.613333	14.773091	12.553333
5	Ikra Monjur 🇺🇸	248	1/2	Random execution	3.	16.613333	19.635989	13.373333
6	Laurent Mandrile	249	1/2	Random execution	3.	16.613333	19.880392	13.566667
7	Adam Pacheck	193	1/2	Random execution	3.	16.613333	21.610579	13.066667
8	Emma Sung 🇺🇸	241	1/2	Random execution	3.	16.613333	22.023116	12.56
9	Anna Tsalapova 🇷🇺	94	1/2	Random execution	3.	16.613333	23.230382	13.473333
10	Simon Schaefer 🇨🇭	132	1/2	Random execution	3.	16.613333	24.219924	13.7

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_tiles_median↑	survival_time_mean↑	good_angle_mean ↓	valid_direction_mean ↓
-	Bhairav Mehta	88	1/2	ROS-based Lane Following	5.	11.16	5.700746	2.04
1	Brian Wang 🇺🇸	187	1/2	ROS-based Lane Following	4.	7.426667	6.234452	3.233333
-	Bhairav Mehta	80	1/2	ROS-based Lane Following, v2	3.	16.64	19.400973	13.046667
2	Vadim Volodin 🇷🇺	95	1/2	Random execution	3.	16.613333	10.129178	11.266667
3	Suzanne Petryk	222	1/2	Random execution	3.	16.613333	11.285663	11.546667
4	Christina Chang	186	1/2	Random execution	3.	16.613333	14.773091	12.553333
5	Ikra Monjur 🇺🇸	248	1/2	Random execution	3.	16.613333	19.635989	13.373333
6	Laurent Mandrile	249	1/2	Random execution	3.	16.613333	19.880392	13.566667
7	Adam Pacheck	193	1/2	Random execution	3.	16.613333	21.610579	13.066667
8	Emma Sung 🇺🇸	241	1/2	Random execution	3.	16.613333	22.023116	12.56
-	Andrea Censi 🇨🇭	74	1/2	Random execution	3.	16.613333	23.207071	11.993333
9	Anna Tsalapova 🇷🇺	94	1/2	Random execution	3.	16.613333	23.230382	13.473333
-	Anna Tsalapova 🇷🇺	156	1/2	Random execution	3.	16.613333	23.628473	14.22
10	Simon Schaefer 🇨🇭	132	1/2	Random execution	3.	16.613333	24.219924	13.7
-	Julian Zilly	147	1/2	Baseline solution using imitation learning from logs	3.	16.613333	25.771965	13.42
-	Vadim Volodin 🇷🇺	183	1/2	Random execution	3.	16.613333	26.721956	12.486667
11	Jonathan Plante 🇨🇦	236	1/2	Random execution	3.	16.613333	34.420876	12.626667
-	Anna Tsalapova 🇷🇺	303	1/2	Random execution	3.	15.766667	18.751788	12.38
-	Vadim Volodin 🇷🇺	136	1/2	Random execution	3.	15.046667	21.213233	13.5
12	John Hughes 🇺🇸	232	1/2	Random execution	3.	12.986667	11.380411	9.42
13	David Abraham	251	1/2	Random execution	3.	9.606667	8.738932	8.466667
-	Florian Golemo	196	1/2	PyTorch DDPG template	3.	3.893333	8.636264	7.826667
-	Jonathan Plante 🇨🇦	237	1/2	Tensorflow template	3.	3.106667	0.853246	1.08
-	Florian Golemo	178	1/2	Tensorflow template	3.	3.106667	0.858242	1.086667
14	Mandana Samiei 🇨🇦	256	1/2	Tensorflow template	3.	3.1	0.854087	1.093333
-	Mandana Samiei 🇨🇦	299	1/2	Tensorflow template	3.	3.1	0.852842	1.08
-	Mandana Samiei 🇨🇦	264	1/2	Tensorflow template	3.	3.1	0.857014	1.08
15	P P	137	1/2	TF-v0	3.	3.093333	0.840746	1.053333
16	Martin Weiss 🇨🇦	182	1/2	Tensorflow template	3.	3.093333	0.850169	1.08
-	David Abraham	253	1/2	Tensorflow template	3.	3.093333	0.867659	1.053333
17	Andy Ser	82	1/2	Tensorflow template	3.	3.086667	0.865003	1.06
-	Vadim Volodin 🇷🇺	262	1/2	Simple based on center pixel	3.	1.446667	33.661801	4.846667
-	Vadim Volodin 🇷🇺	202	1/2	Random execution	2.	16.613333	0.031108	0.
18	Philippe Lacaille	228	1/2	Random execution	2.	16.613333	11.350653	11.833333
19	Wei Gao 🇸🇬	325	1/2	Random execution	2.	16.613333	17.497666	13.72
20	Samuel Lavoie	368	1/2	Random execution	2.	16.613333	18.911675	11.28
-	Emma Sung 🇺🇸	240	1/2	Random execution	2.	16.613333	26.587436	13.633333
-	Mandana Samiei 🇨🇦	252	1/2	Random execution	2.	16.613333	27.07524	13.846667
-	Vadim Volodin 🇷🇺	203	1/2	Random execution	2.	16.613333	29.216986	13.793333
21	Irene Hung 🇺🇸	230	1/2	Random execution	2.	16.613333	33.643679	13.246667
-	Vadim Volodin 🇷🇺	184	1/2	Random execution	2.	16.566667	10.597432	10.513333
22	Dylan Chiu 🇺🇸	169	1/2	Random execution	2.	10.34	13.677322	10.486667
-	Vadim Volodin 🇷🇺	258	1/2	Simple based on center pixel	2.	10.273333	22.694222	2.886667
-	Bhairav Mehta	78	1/2	ROS-based Lane Following	2.	8.02	7.586644	6.613333
-	Bhairav Mehta	86	1/2	ROS-based Lane Following	2.	7.413333	6.328107	2.64
-	Julian Zilly	170	1/2	Baseline solution using imitation learning from logs	2.	6.28	7.895302	2.626667
-	Florian Golemo	192	1/2	PyTorch DDPG template	2.	6.08	8.45617	8.046667
-	Florian Golemo	208	1/2	PyTorch DDPG template	2.	5.54	7.160989	5.613333
-	Vadim Volodin 🇷🇺	204	1/2	Random execution	2.	4.02	9.577548	7.94
23	Anton Mashikhin 🇷🇺	283	1/2	PyTorch DDPG template	2.	3.946667	5.498297	4.2
-	Anton Mashikhin 🇷🇺	269	1/2	PyTorch DDPG template	2.	3.853333	5.442991	4.213333
-	Anton Mashikhin 🇷🇺	357	1/2	PyTorch DDPG template	2.	3.846667	5.128423	4.246667
24	Benjamin Ramtoula 🇨🇦	302	1/2	PyTorch DDPG template	2.	3.84	5.712325	4.126667
-	Andrea Censi 🇨🇭	71	1/2	Random execution	2.	3.36	6.453174	1.526667
-	Bhairav Mehta	87	1/2	Template for ROS Submission	2.	3.326667	6.462894	1.86
-	Mandana Samiei 🇨🇦	370	1/2	PyTorch DDPG template	2.	3.293333	5.273808	4.173333
-	Benjamin Ramtoula 🇨🇦	233	1/2	Template for ROS Submission	2.	3.266667	5.573908	1.82
-	Jonathan Plante 🇨🇦	244	1/2	Template for ROS Submission	2.	3.033333	4.716202	1.82
-	David Abraham	261	1/2	Random execution	2.	2.373333	3.244835	0.773333
-	David Abraham	259	1/2	Random execution	2.	2.373333	3.244835	0.773333
-	Vadim Volodin 🇷🇺	255	1/2	Simple based on center pixel	2.	2.373333	3.244835	0.773333
-	Vadim Volodin 🇷🇺	206	1/2	Random execution	2.	2.373333	3.244835	0.773333
-	Vadim Volodin 🇷🇺	205	1/2	Random execution	2.	2.373333	3.244835	0.773333
-	Vadim Volodin 🇷🇺	257	1/2	Simple based on center pixel	2.	1.886667	1.575301	0.513333