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Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.
Zeyu Gao
Yao Mu
Ruoyan Shen
Chen Chen
Yangang Ren
Jianyu Chen
Shengbo Eben Li
Ping Luo
Yanfeng Lu
Published in:
CoRR (2022)
Keyphrases
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end to end
world model
semantic interpretation
autonomous driving
admission control
congestion control
ad hoc networks
grand challenge
vision system
domain specific
computational complexity
stereo vision
urban traffic
natural language
real world
cellular automata
real time
multi hop
application layer
computer vision