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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) |
| Publisher | IEEE |
| Pages | 416-421 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-6654-7687-4 |
| ISBN (Print) | 978-1-6654-7688-1 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Singapore, Singapore Duration: 11 Dec 2022 → 13 Dec 2022 Conference number: 17th |
Publication series
| Name | 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022 |
|---|
Conference
| Conference | 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 11/12/22 → 13/12/22 |
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-careOtherwise 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.