Research papers · Posted 2020.08.26 · Publication / acceptance: author-reported
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data
Identification of Challenging Highway-Scenarios for the Safety Validation of Automated Vehicles Based on Real Driving Data
Overview
The approach extracts highD highway scenarios using hierarchical clustering and rule-based classification. A difficulty metric independent of the tested vehicle ranks cases, helping select challenging scenarios before evaluating a particular automated-driving system.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
Accepted at 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Version: arXiv v1 — manuscript revision