Driver Assistance Systems and Safety—Assessment and Challenges

  • Jinwei Zhou
  • , Pavlo Tkachenko
  • , Daniel Adelberger
  • , Luigi Del Re

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Safety assessment of Highly Automated Vehicles, including Advanced Driver Assistance Systems and Advanced Driving Functions, is of paramount importance for the acceptance and diffusion of these technologies. On-road testing alone is no option due to the enormous time requirements, so virtual testing is generally considered to be a necessary complement. While more time efficient than on road testing, also virtual testing cannot be performed for all possible situations.Moreover, virtual testing can be even misleading if the considered scenarios are not realistic or do not include the critical situations which can occur in the intended real traffic use. Against this background, we discuss different options and challenges as well as outlooks.
Original languageEnglish
Title of host publicationAI-enabled Technologies for Autonomous and Connected Vehicles
Pages355–385
Number of pages31
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure
VolumePart F1376
ISSN (Print)2523-3440
ISSN (Electronic)2523-3459

Fields of science

  • 206002 Electro-medical engineering
  • 207109 Pollutant emission
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202034 Control engineering
  • 203027 Internal combustion engines
  • 206001 Biomedical engineering

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management

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