Leaderboard for challenge "LFV 🚗🚗 - Lane following + Vehicles (simulation 👾, validation 🏋)"

Last computed: 2024-11-21 12:52:23+00:00

#1 FANG MEIYI 3650	#2 jiang peng 3401	#3 Peter Almasi 3541
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Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	3650	1/1	test	3.1	16.	0.61	0.
2	jiang peng	3401	1/1	RL-TH-shi	3.1	16.	0.87	1.
3	Peter Almasi 🇭🇺	3541	1/1	My solution using reinforcement learning	3.1	16.	0.95	1.
4	Anastasiya Nikolskaya 🇷🇺	3344	1/1	JetBrains Research	3.1	16.	1.01	0.
-	jiang peng	3315	1/1	RL - TH -hhk	1.86	16.	0.73	5.8
-	jiang peng	3742	1/1	LF sim test - wh	1.86	8.	0.39	2.4
5	Rami Al-Naim 🇷🇺	2708	1/1	challenge-aido_LF-baseline-duckietown	1.24	16.	1.03	2.2
6	Konstantin Chaika	2695	1/1	challenge-aido_LF-baseline-duckietown	1.24	10.	0.54	0.4
-	Peter Almasi 🇭🇺	3129	1/1	Baseline solution using reinforcement learning	1.24	8.	0.27	1.4
-	jiang peng	3440	1/1	RL-TH-HHK	1.24	6.	0.23	1.2

Extended leaderboard

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

#1 FANG MEIYI 3650	#2 jiang peng 3401	#3 Peter Almasi 3541
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Rank (user)	User	Submission	complete	User label	Traveled distance↑	Survival time↑	Lateral deviation ↓	Major infractions ↓
1	FANG MEIYI 🇸🇬	3650	1/1	test	3.1	16.	0.61	0.
-	FANG MEIYI 🇸🇬	3332	1/1	test	3.1	16.	0.76	0.
2	jiang peng	3401	1/1	RL-TH-shi	3.1	16.	0.87	1.
-	jiang peng	3424	1/1	RL-TH-shi	3.1	16.	0.91	0.
3	Peter Almasi 🇭🇺	3541	1/1	My solution using reinforcement learning	3.1	16.	0.95	1.
4	Anastasiya Nikolskaya 🇷🇺	3344	1/1	JetBrains Research	3.1	16.	1.01	0.
-	Anastasiya Nikolskaya 🇷🇺	3450	1/1	JetBrains Research	3.1	16.	1.1	0.6
-	jiang peng	3419	1/1	RL-TH-shi	2.48	16.	0.72	0.4
-	jiang peng	3404	1/1	RL-TH-shi	2.48	16.	0.75	0.
-	jiang peng	3412	1/1	RL-TH-shi	2.48	16.	0.79	0.
-	jiang peng	3384	1/1	RL-TH-shi	2.48	16.	0.79	1.4
-	jiang peng	3425	1/1	RL-TH-shi	2.48	16.	0.82	0.
-	jiang peng	3398	1/1	RL-TH-shi	2.48	16.	0.82	0.2
-	jiang peng	3402	1/1	RL-TH-shi	2.48	16.	1.07	0.2
-	jiang peng	3427	1/1	RL-TH-shi	1.86	16.	0.55	1.2
-	jiang peng	3315	1/1	RL - TH -hhk	1.86	16.	0.73	5.8
-	jiang peng	3418	1/1	RL-TH-shi	1.86	10.	0.59	1.8
-	jiang peng	3742	1/1	LF sim test - wh	1.86	8.	0.39	2.4
-	jiang peng	3740	1/1	LF sim test - wh	1.86	8.	0.41	1.6
-	jiang peng	3416	1/1	RL-TH-shi	1.86	6.	0.18	0.
-	Julian Zilly	3496	1/1	Baseline-IL-logs-tensorflow	1.24	16.	0.52	0.
5	Rami Al-Naim 🇷🇺	2708	1/1	challenge-aido_LF-baseline-duckietown	1.24	16.	1.03	2.2
-	Julian Zilly	3760	1/1	Baseline-IL-logs-tensorflow	1.24	14.	0.64	2.6
-	Julian Zilly	2978	1/1	Baseline-IL-logs-tensorflow	1.24	12.	0.58	0.
6	Konstantin Chaika	2695	1/1	challenge-aido_LF-baseline-duckietown	1.24	10.	0.54	0.4
-	Peter Almasi 🇭🇺	3129	1/1	Baseline solution using reinforcement learning	1.24	8.	0.27	1.4
-	Andrea Daniele 🇮🇹	2881	1/1	minimal_agent (Python 3)	1.24	8.	0.34	2.
-	Liam Paull 🇨🇦	2372	1/1	minimal_agent (Python 3)	1.24	8.	0.34	2.
-	jiang peng	3440	1/1	RL-TH-HHK	1.24	6.	0.23	1.2
-	jiang peng	3328	1/1	RL - TH -xyz	1.24	6.	0.23	1.6
7	Nicky Eichmann	3624	1/1	Baseline solution using reinforcement learning	1.24	4.	0.1	0.6
-	Nicky Eichmann	3630	1/1		1.24	4.	0.12	0.6
-	jiang peng	3327	1/1	RL - TH -xyz	1.24	4.	0.13	1.2
-	Liam Paull 🇨🇦	2378	1/1	minimal_agent_python2 (Python 2)	1.24	4.	0.15	1.
-	Andrea Censi 🇨🇭	3059	1/1	rotation	0.62	16.	0.49	7.8
-	jiang peng	3410	1/1	RL - TH -hhk	0.62	16.	0.57	7.2
-	jiang peng	3439	1/1	RL-TH-HHK	0.62	16.	0.93	0.
8	Alexander Karavaev	2861	1/1	challenge-aido_LF-baseline-duckietown	0.62	8.	0.21	0.6
-	Julian Zilly	2961	1/1	Baseline-IL-logs-tensorflow	0.62	6.	0.24	2.
-	Julian Zilly	2591	1/1	baseline-IL-logs-tensorflow	0.62	6.	0.39	0.
9	sebastian glatz	3750	1/1		0.62	4.	0.12	0.6
10	Victor Adolfo Romero Cano 🇨🇴	3598	1/1		0.62	4.	0.12	0.6
11	Amaury Camus 🇨🇭	3368	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Amaury Camus 🇨🇭	3217	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Amaury Camus 🇨🇭	3142	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Liam Paull 🇨🇦	2823	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Andrea Censi 🇨🇭	2809	1/1	challenge-aido_LF-template-random - random_agent	0.62	4.	0.12	0.6
-	Andrea Censi 🇨🇭	2633	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Andrea Censi 🇨🇭	2621	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Liam Paull 🇨🇦	2472	1/1	challenge-aido_LF-template-random	0.62	4.	0.12	0.6
-	Jacopo Tani	2442	1/1	random_agent	0.62	4.	0.12	0.6
-	Andrea Censi 🇨🇭	2421	1/1	random_agent	0.62	4.	0.12	0.6
-	Liam Paull 🇨🇦	2396	1/1	random_agent	0.62	4.	0.12	0.6
-	Andrea Censi 🇨🇭	2365	1/1	random_agent	0.62	4.	0.12	0.6
-	Bhairav Mehta	2759	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.17	0.2
12	Egor Zamotaev	2645	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.17	0.2
-	Konstantin Chaika	2609	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.17	0.2
-	Alexander Karavaev	2565	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.17	0.2
-	Andrea Censi 🇨🇭	2552	1/1	challenge-aido_LF-template-ros - Template solution using ROS	0.62	4.	0.17	0.2
-	Manfred Diaz	3695	1/1	challenge-aido_LF-template-tensorflow	0.62	4.	0.19	0.4
13	Victor Guerra 🇫🇷	2405	1/1	Baseline solution using reinforcement learning	0.62	2.	0.07	0.6
14	Bea Baselines 🐤	3510	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.09	0.
-	Liam Paull 🇨🇦	2496	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.09	0.6
-	Bhairav Mehta	2949	1/1	Baseline solution using reinforcement learning	0.62	2.	0.1	0.
-	Andrea Censi 🇨🇭	2386	1/1	Baseline solution using reinforcement learning	0.62	2.	0.1	0.
-	Bhairav Mehta	2925	1/1	challenge-aido_LF-template-pytorch	0.62	2.	0.11	0.
-	Nicky Eichmann	2449	1/1	Baseline solution using reinforcement learning	-1.24	16.	1.01	4.2