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Improving the Generalization of End-to-End Driving through Procedural
  Generation

Improving the Generalization of End-to-End Driving through Procedural Generation

26 December 2020
Quanyi Li
Zhenghao Peng
Qihang Zhang
Chunxiao Liu
Bolei Zhou
ArXivPDFHTML

Papers citing "Improving the Generalization of End-to-End Driving through Procedural Generation"

4 / 4 papers shown
Title
Display in the Air: Balancing Distraction and Workload in AR Glasses
  Interfaces for Driving Navigation
Display in the Air: Balancing Distraction and Workload in AR Glasses Interfaces for Driving Navigation
Xiangyang He
Keyuan Zhou
19
3
0
29 Apr 2024
From Model-Based to Data-Driven Simulation: Challenges and Trends in
  Autonomous Driving
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
Ferdinand Mutsch
Helen Gremmelmaier
Nicolas Becker
Daniel Bogdoll
M. Zofka
J. Marius Zöllner
26
9
0
23 May 2023
Procedural Generation of Complex Roundabouts for Autonomous Vehicle
  Testing
Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing
Zarif Ikram
G. Muktadir
J. Whitehead
13
1
0
31 Mar 2023
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
1