A human factors approach to validating driver models for interaction-aware automated vehicles

27 September 2021

Papers citing "A human factors approach to validating driver models for interaction-aware automated vehicles"

10 / 10 papers shown

Title
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model Aravinda Ramakrishnan Srinivasan Mohamed Hasan Yi-Shin Lin Matteo Leonetti J. Billington R. Romano Gustav Markkula 63 10 0 21 Apr 2021
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning Zhiyu Huang Jingda Wu Chen Lv OffRL 50 145 0 07 Oct 2020
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference Liting Sun Zheng Wu Hengbo Ma Masayoshi Tomizuka OffRL 30 7 0 20 Aug 2020
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach Peng Hang Chen Lv Yang Xing Chao Huang Zhongxu Hu 24 215 0 22 May 2020
Interactive Decision Making for Autonomous Vehicles in Dense Traffic David Isele 27 46 0 27 Sep 2019
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving Sascha Rosbach Vinit James S. Großjohann S. Homoceanu Stefan Roth 16 58 0 01 May 2019
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study Meixin Zhu Xuesong Wang A. Tarko S. Fang 12 216 0 11 Nov 2018
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems R. Krajewski Julian Bock Laurent Kloeker L. Eckstein 70 982 0 11 Oct 2018
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts Ran Tian Sisi Li Nan I. Li Ilya Kolmanovsky Anouck Girard Y. Yildiz 30 82 0 01 Oct 2018
Continuous Inverse Optimal Control with Locally Optimal Examples Sergey Levine V. Koltun OffRL 53 328 0 18 Jun 2012