Scalable end-to-end autonomous vehicle testing via rare-event simulation
© 2018 Curran Associates Inc.All rights reserved. While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing. Real-world testing, the de facto evaluation environment, places the public in danger, and, due to the rar...
Main Authors: | O'Kelly, M, Duchi, J, Sinha, A, Namkoong, H, Tedrake, R |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | English |
Published: |
2022
|
Online Access: | https://hdl.handle.net/1721.1/143975 |
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