Related references
Note: Only part of the references are listed.Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology
Shuo Feng et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2021)
Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System
Yixue Hao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
Jingliang Duan et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Interval data-based k-means clustering method for traffic state identification at urban intersections
Wenming Rao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2019)
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios
Wenhao Ding et al.
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)
Automating Large-Scale Data Quality Verification
Sebastian Schelter et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2018)
Lane Change Maneuvers for Automated Vehicles
Julia Nilsson et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques
Ding Zhao et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Autonomous Vehicle Safety: An Interdisciplinary Challenge
Philip Koopman et al.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2017)
Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S
Mica R. Endsley
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING (2017)
Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
Saeed Asadi Bagloee et al.
JOURNAL OF MODERN TRANSPORTATION (2016)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Review of Microscopic Lane-Changing Models and Future Research Opportunities
Mizanur Rahman et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Congested traffic states in empirical observations and microscopic simulations
M Treiber et al.
PHYSICAL REVIEW E (2000)
Share Paper
