Challenges in Virtual Testing of Autonomous Vehicles

Conference paper (2022)

Authors

Andrea Piazzoni Nanyang Technological University, ERI@N
Roshan Vijay Nanyang Technological University
Jim Cherian Nanyang Technological University
Lyu Chen Nanyang Technological University
J.H.G. Dauwels Signal Processing Systems - EEMCS
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
Copyright: © 2022 Andrea Piazzoni, Roshan Vijay, Jim Cherian, Lyu Chen, J.H.G. Dauwels
DOI
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https://doi.org/10.1109/ICARCV57592.2022.10004249
More Info
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

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.