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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

1 June 2022
Marvin Klingner
Konstantin Müller
Mona Mirzaie
Jasmin Breitenstein
Jan-Aike Termöhlen
Tim Fingscheidt
ArXiv (abs)PDFHTML

Papers citing "On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models"

2 / 2 papers shown
Title
Multi-view Aggregation Network for Dichotomous Image Segmentation
Multi-view Aggregation Network for Dichotomous Image Segmentation
Qian Yu
Xiaoqi Zhao
Youwei Pang
Lihe Zhang
Huchuan Lu
117
17
0
11 Apr 2024
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
194
209
0
25 Nov 2019
1