Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study-Reference-Cited by-同舟云学术

Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study

Published:2023-03-01 Issue:3 Volume:49 Page:991-1026
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Zhang Xinhai¹^ORCID,Tao Jianbo²,Tan Kaige³^ORCID,Törngren Martin³^ORCID,Sánchez José Manuel Gaspar³,Ramli Muhammad Rusyadi³,Tao Xin⁴^ORCID,Gyllenhammar Magnus³^ORCID,Wotawa Franz⁵^ORCID,Mohan Naveen³,Nica Mihai²,Felbinger Hermann²

Affiliation:

1. Sigma Technology Group, Stockholm, Sweden

2. AVL, Graz, Austria

3. Mechatronics Division, KTH, Stockholm, Sweden

4. Integrated Transport Research Lab (ITRL), KTH, Stockholm, Sweden

5. CD Laboratory for Quality Assurance Methodology for Autonomous Safety Critical Systems (QAMCAS), Institute for Software Technology, TU Graz, Graz, Austria

Funder

Electronic Components and Systems for European Leadership

Christian Doppler Forschungsgesellschaft

VINNOVA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/10070338/09763411.pdf?arnumber=9763411

Reference178 articles.

1. Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components