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An End-to-End Collaborative Learning Approach for Connected Autonomous
  Vehicles in Occluded Scenarios

An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios

11 December 2024
L. Parada
Hanlin Tian
Jose Escribano
Panagiotis Angeloudis
ArXivPDFHTML

Papers citing "An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios"

2 / 2 papers shown
Title
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision
  Transformer
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu
Hao Xiang
Zhengzhong Tu
Xin Xia
Ming-Hsuan Yang
Jiaqi Ma
ViT
112
362
0
20 Mar 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
1