Challenges in Virtual Testing of Autonomous Vehicles

Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, Justin Dauwels

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
154 Downloads (Pure)

Abstract

The worldwide development of Autonomous Vehicles (AVs) has also encouraged the use of software simulators for virtual testing of AVs. However, the effectiveness of the AV simulators is constrained by numerous challenges, such as their computational cost and lack of fidelity in specific areas. In this paper, we describe the modality of virtual testing and its benefits for AV development and validation. Moreover, we summarize and provide an overview of the state-of-the-art AV simulators, their limitations, and the current directions toward improvement.
Original languageEnglish
Title of host publicationProceedings of the 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
PublisherIEEE
Pages416-421
Number of pages6
ISBN (Electronic)978-1-6654-7687-4
ISBN (Print)978-1-6654-7688-1
DOIs
Publication statusPublished - 2022
Event2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Singapore, Singapore
Duration: 11 Dec 202213 Dec 2022
Conference number: 17th

Publication series

Name2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022

Conference

Conference2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Country/TerritorySingapore
CitySingapore
Period11/12/2213/12/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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