Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data

14 March 2022

Papers citing "Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data"

6 / 6 papers shown

Title
The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX A. Tenbrock A. Koenig Thomas Keutgens Julian Bock Hendrik Weber R. Krajewski A. Zlocki 41 25 0 17 Mar 2021
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data Thomas Ponn Matthias Breitfuss Xiao Yu Frank Diermeyer 42 21 0 26 Aug 2020
Real-World Scenario Mining for the Assessment of Automated Vehicles Erwin de Gelder J. Manders Corrado Grappiolo J. Paardekooper Olaf Op den Camp B. de Schutter 39 23 0 31 May 2020
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 82 994 0 11 Oct 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
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 57 355 0 16 May 2016