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Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning

Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning

17 September 2021
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yu Liu
    AI4TS
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Papers citing "Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning"

11 / 11 papers shown
Title
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout
  Intersections
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections
Daniel Attard
Josef Bajada
11
2
0
10 Jan 2024
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with
  Vehicle-to-Everything Communication Integration
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration
Zhi-Guo Deng
Yanjun Shi
Weiming Shen
18
0
0
26 Sep 2023
What Matters to Enhance Traffic Rule Compliance of Imitation Learning
  for Automated Driving
What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving
Hongkuan Zhou
Aifen Sui
Wei Cao
Letian Shi
15
0
0
14 Sep 2023
Recent Advancements in End-to-End Autonomous Driving using Deep
  Learning: A Survey
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
Pranav Singh Chib
Pravendra Singh
19
108
0
10 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
38
262
0
29 Jun 2023
Mixed Traffic Control and Coordination from Pixels
Mixed Traffic Control and Coordination from Pixels
Michael Villarreal
Bibek Poudel
Jia-Yu Pan
Weizi Li
32
12
0
17 Feb 2023
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving
Qingwen Zhang
Mingkai Tang
R. Geng
Feiyi Chen
Ren Xin
Lujia Wang
30
34
0
01 Jul 2022
On the Choice of Data for Efficient Training and Validation of
  End-to-End Driving Models
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models
Marvin Klingner
Konstantin Müller
Mona Mirzaie
Jasmin Breitenstein
Jan-Aike Termöhlen
Tim Fingscheidt
17
4
0
01 Jun 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Chenfeng Xu
Tian Li
Chen Tang
Lingfeng Sun
Kurt Keutzer
M. Tomizuka
Alireza Fathi
Wei Zhan
34
27
0
21 Apr 2022
Efficient and Robust LiDAR-Based End-to-End Navigation
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu
Alexander Amini
Sibo Zhu
S. Karaman
Song Han
Daniela Rus
169
46
0
20 May 2021
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yu Liu
36
70
0
05 May 2020
1