Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications

11 September 2017

Ding Zhao

Papers citing "Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications"

24 / 24 papers shown

Title
Towards Interactive Autonomous Vehicle Testing: Vehicle-Under-Test-Centered Traffic Simulation Yiru Liu X. Zhao Jian Sun 39 1 0 05 Jun 2024
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation Hanlin Tian Kethan Reddy Yuxiang Feng Mohammed Quddus Y. Demiris Panagiotis Angeloudis 46 10 0 12 Apr 2024
(Re) $^2$ H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu Kun Ren Yi Tian Xu Ziyuan Yang Yi-Hsin Lin Yan Zhang Jianming Hu OffRL 13 9 0 27 Feb 2023
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing Shaobo Qiu Ji Li Guoxi Chen Hong Wang Boqi Li 16 0 0 26 Jan 2023
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness Bowen Weng Guillermo A. Castillo Wei Zhang Ayonga Hereid AAML 30 7 0 20 Sep 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 38 2 0 22 Aug 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 30 143 0 04 Feb 2022
A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis Sina Gholamian Paul A. S. Ward 17 16 0 24 Oct 2021
A Scenario-Based Development Framework for Autonomous Driving Xiaoyi Li 6 6 0 03 Nov 2020
A Generic Framework for Clustering Vehicle Motion Trajectories F. Hoseini Sadegh Rahrovani M. Chehreghani 9 4 0 25 Sep 2020
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories A. Demetriou Henrik Alfsvåg Sadegh Rahrovani Morteza Haghir Chehreghani 19 37 0 28 Jul 2020
Robust Unsupervised Learning of Temporal Dynamic Interactions Aritra Guha Rayleigh Lei Jiacheng Zhu X. Nguyen Ding Zhao 6 0 0 18 Jun 2020
How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach Rui Chen Mansur Arief Weiyang Zhang Ding Zhao ELM 6 12 0 19 Sep 2019
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field Yaohui Guo Vinay Varma Kalidindi Mansur Arief Wenshuo Wang Jiacheng Zhu H. Peng Ding Zhao 11 35 0 25 Jun 2019
Estimating Risk Levels of Driving Scenarios through Analysis of Driving Styles for Autonomous Vehicles Songlin Xu Jiacheng Zhu 7 5 0 23 Apr 2019
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters Wenhao Ding Wenshuo Wang Ding Zhao 22 13 0 15 Sep 2018
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles Rui Chen Mansur Arief Ding Zhao 9 3 0 09 Aug 2018
Understanding V2V Driving Scenarios through Traffic Primitives Wenshuo Wang Weiyang Zhang Ding Zhao 14 17 0 27 Jul 2018
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation Wenhao Ding Shuaijun Li Huihuan Qian 10 32 0 14 Jul 2018
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives Jiacheng Zhu Wenshuo Wang Ding Zhao AI4TS 25 5 0 13 May 2018
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets Mansur Arief Peter Glynn Ding Zhao 11 15 0 05 May 2018
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning Sisi Li Wenshuo Wang Zhaobin Mo Ding Zhao BDL DRL 20 18 0 28 Feb 2018
Extraction of V2V Encountering Scenarios from Naturalistic Driving Database Zhaobin Mo Sisi Li Diange Yang Ding Zhao 17 0 0 27 Feb 2018
Modeling the Complex Dynamics and Changing Correlations of Epileptic Events Drausin Wulsin E. Fox B. Litt 48 21 0 27 Feb 2014