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2004.04450
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Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
9 April 2020
Danial Kamran
Carlos Fernandez Lopez
Martin Lauer
Christoph Stiller
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Papers citing
"Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning"
22 / 22 papers shown
Safe Driving in Occluded Environments
Zhuoyuan Wang
Tongyao Jia
Pharuj Rajborirug
Neeraj Ramesh
H. Okuda
Tatsuya Suzuki
Soummya Kar
Yorie Nakahira
163
0
0
15 Oct 2025
Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making
Kaifeng Wang
Yinsong Chen
Qi Liu
Xueyuan Li
Xin Gao
301
2
0
09 Apr 2025
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
L. Parada
Hanlin Tian
Jose Escribano
Panagiotis Angeloudis
278
1
0
11 Dec 2024
Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception
Jie Jia
Yiming Shu
Zhongxue Gan
Wenchao Ding
408
6
0
26 Sep 2024
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
332
9
0
20 Sep 2024
Multilevel Graph Reinforcement Learning for Consistent Cognitive Decision-making in Heterogeneous Mixed Autonomy
Xin Gao
Zhaoyang Ma
Xueyuan Li
Xiaoqiang Meng
Zirui Li
179
1
0
16 Aug 2024
Integrating occlusion awareness in urban motion prediction for enhanced autonomous vehicle navigation
Vinicius Trentin
Juan Felipe Medina Lee
Antonio Artuñedo
J. Villagra
170
1
0
28 Jun 2024
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Henan Yuan
Penghui Li
B. Arem
Liujiang Kang
Yongqi Dong
163
7
0
20 Jun 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving
Dikshant Gupta
Matthias Klusch
258
5
0
30 Dec 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
320
8
0
06 Nov 2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Kevin Rösch
Florian Heidecker
Julian Truetsch
K. Kowol
Clemens Schicktanz
Maarten Bieshaar
Bernhard Sick
Christoph Stiller
128
11
0
17 Oct 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty
Conference on Robot Learning (CoRL), 2022
Mohamad H. Danesh
Panpan Cai
David Hsu
308
9
0
23 Sep 2022
MSVIPER: Improved Policy Distillation for Reinforcement-Learning-Based Robot Navigation
Aaron M. Roth
Jing Liang
Ram D. Sriram
Elham Tabassi
Tianyi Zhou
201
3
0
19 Sep 2022
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
IEEE International Conference on Robotics and Automation (ICRA), 2022
Arec Jamgochian
E. Buehrle
Johannes Fischer
Mykel J. Kochenderfer
367
19
0
05 Apr 2022
Trust-aware Control for Intelligent Transportation Systems
Mingxi Cheng
Junyao Zhang
Shahin Nazarian
Jyotirmoy Deshmukh
P. Bogdan
137
10
0
08 Nov 2021
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames
Maximilian Kahn
Atrisha Sarkar
Krzysztof Czarnecki
223
14
0
20 Sep 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging
International Conference on Intelligent Transportation Systems (ITSC), 2021
Danial Kamran
Yu Ren
Martin Lauer
163
10
0
15 Jul 2021
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Danial Kamran
Tizian Engelgeh
M. Busch
Johannes Fischer
Christoph Stiller
OffRL
732
31
0
15 Jul 2021
Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Qi Liu
Xueyuan Li
Shihua Yuan
Zirui Li
244
81
0
02 Jul 2021
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
IEEE International Conference on Robotics and Automation (ICRA), 2021
Jinyoung Choi
C. Dance
Jung-Eun Kim
Seulbin Hwang
Kyungsik Park
UQCV
233
31
0
07 Apr 2021
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning
Karl Kurzer
Philip Schorner
Alexander Albers
Hauke Thomsen
Karam Daaboul
Johann Marius Zöllner
157
13
0
12 Feb 2021
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
Feng Wang
Dongjie Shi
Teng Liu
Xiaolin Tang
635
17
0
14 Aug 2020
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