相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Learning-Based Stochastic Driving Model for Autonomous Vehicle Testing
Lin Liu et al.
TRANSPORTATION RESEARCH RECORD (2022)
New needs to consider during accident analysis: Implications of autonomous vehicles with collision reconfiguration systems
Masoumeh Parseh et al.
ACCIDENT ANALYSIS AND PREVENTION (2022)
Autonomous driving testing scenario generation based on in-depth vehicle-to-powered two-wheeler crash data in China
Xinghua Wang et al.
ACCIDENT ANALYSIS AND PREVENTION (2022)
Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
Jingliang Duan et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
VeRA: A Simplified Security Risk Analysis Method for Autonomous Vehicles
Jin Cui et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Interval data-based k-means clustering method for traffic state identification at urban intersections
Wenming Rao et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2019)
Model-based, Mutation-driven Test-case Generation Via Heuristic-guided Branching Search
Andreas Fellner et al.
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS (2019)
Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems
Nan Li et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2018)
Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications
Wenshuo Wang et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2018)
Lane Change Maneuvers for Automated Vehicles
Julia Nilsson et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Jeremy Morton et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)
Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S
Mica R. Endsley
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING (2017)
Challenges in Autonomous Vehicle Testing and Validation
Philip Koopman et al.
SAE INTERNATIONAL JOURNAL OF TRANSPORTATION SAFETY (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)
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
Emily Fox et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2011)
Hidden semi-Markov models
Shun-Zheng Yu
ARTIFICIAL INTELLIGENCE (2010)
Development and evaluation of collision warning/collision avoidance algorithms using an errable driver model
Hsin-Hsiang Yang et al.
VEHICLE SYSTEM DYNAMICS (2010)
Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data
Christian Thiemann et al.
TRANSPORTATION RESEARCH RECORD (2008)
Hierarchical Dirichlet processes
Yee Whye Teh et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
A simplified car-following theory: a lower order model
GF Newell
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2002)
Congested traffic states in empirical observations and microscopic simulations
M Treiber et al.
PHYSICAL REVIEW E (2000)
分享论文
