Testing Scenario Library Generation for Connected and Automated
Vehicles, Part I: Methodology

v1v2v3 (latest)

Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

9 May 2019

ArXiv (abs)PDF HTML

Papers citing "Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology"

8 / 8 papers shown

Title
Controllable Latent Diffusion for Traffic Simulation Yizhuo Xiao Mustafa Suphi Erden Cheng Wang 79 0 0 14 Mar 2025
Scenario-based assessment of automated driving systems: How (not) to parameterize scenarios? Erwin de Gelder Olaf Op den Camp 51 2 0 02 Sep 2024
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization Friedrich Kruber Jonas Wurst M. Botsch 39 50 0 05 Apr 2020
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World Daniel J. Fremont Edward Kim Yash Vardhan Pant Sanjit A. Seshia Atul Acharya Xantha Bruso Paul Wells Steve Lemke Q. Lu Shalin Mehta 95 130 0 17 Mar 2020
Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies Shuo Feng Yiheng Feng Haowei Sun S. Bao Jianming Hu Henry X. Liu 66 86 0 09 May 2019
Query-Efficient Imitation Learning for End-to-End Autonomous Driving Jiakai Zhang Kyunghyun Cho 163 215 0 20 May 2016
Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques Ding Zhao Henry Lam H. Peng S. Bao D. Leblanc Kazutoshi Nobukawa C. S. Pan 60 355 0 16 May 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,170 0 25 Apr 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.