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Residual Chain Prediction for Autonomous Driving Path Planning

Residual Chain Prediction for Autonomous Driving Path Planning

8 April 2024
Liguo Zhou
Yirui Zhou
Huaming Liu
Alois C. Knoll
ArXiv (abs)PDFHTML

Papers citing "Residual Chain Prediction for Autonomous Driving Path Planning"

12 / 12 papers shown
Title
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Shengchao Hu
Li Chen
Peng Wu
Hongyang Li
Junchi Yan
Dacheng Tao
90
251
0
15 Jul 2022
Learning from All Vehicles
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
97
185
0
22 Mar 2022
GRI: General Reinforced Imitation and its Application to Vision-Based
  Autonomous Driving
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Raphael Chekroun
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
75
61
0
16 Nov 2021
SafetyNet: Safe planning for real-world self-driving vehicles using
  machine-learned policies
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
Matt Vitelli
Yan-Xia Chang
Yawei Ye
Maciej Wołczyk
Bla.zej Osiñski
Moritz Niendorf
Hugo Grimmett
Qiangui Huang
Ashesh Jain
Peter Ondruska
56
80
0
28 Sep 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
71
110
0
27 Sep 2021
Urban Driving with Conditional Imitation Learning
Urban Driving with Conditional Imitation Learning
Jeffrey Hawke
Richard Shen
Corina Gurau
Siddharth Sharma
Daniele Reda
...
Przemyslaw Mazur
Sean Micklethwaite
Nicolas Griffiths
Amar Shah
Alex Kendall
115
147
0
30 Nov 2019
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
138
209
0
25 Nov 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Exploring the Limitations of Behavior Cloning for Autonomous Driving
Felipe Codevilla
Eder Santana
Antonio M. López
Adrien Gaidon
62
546
0
18 Apr 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
301
5,779
0
26 Mar 2019
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,175
0
25 Apr 2016
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stéphane Ross
J. Andrew Bagnell
OffRL
150
264
0
23 Jun 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
236
3,233
0
02 Nov 2010
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