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Advances in Computers and Information in Engineering Research, Volume 2Available to Purchase
ISBN:
9780791862025
No. of Pages:
634
Publisher:
ASME
Publication date:
2021
eBook Chapter
11. A Connected Autonomous Vehicle Emulator (CAVE) for Testing Multi-agent, Conventional–Autonomous Mixed Vehicle Traffic Scenarios Available to Purchase
By
Dan Negrut
,
Dan Negrut
Dept. of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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Asher Elmquist
,
Asher Elmquist
Dept. of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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Radu Serban
,
Radu Serban
Dept. of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA
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Dylan Hatch
,
Dylan Hatch
Dept. of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
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Parmesh Ramanathan
Parmesh Ramanathan
Dept. of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA
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Page Count:
20
-
Published:2021
Citation
Negrut, D, Elmquist, A, Serban, R, Hatch, D, & Ramanathan, P. "A Connected Autonomous Vehicle Emulator (CAVE) for Testing Multi-agent, Conventional–Autonomous Mixed Vehicle Traffic Scenarios." Advances in Computers and Information in Engineering Research, Volume 2. Ed. Michopoulos, JG, Paredis, CJ, Rosen, DW, & Vance, JM. ASME, 2021.
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We discuss a software infrastructure that provides a virtual proving ground for designing, training, and auditing the computer programs used to pilot connected autonomous vehicles (CAVs). This effort does not concentrate on developing the piloting computer programs (PCPs) responsible for path planning in autonomous vehicles (AVs). Instead, we have established a first version of an emulation platform that changes the PCP design/test/improve process, which is often times carried out covertly [46], or in actual traffic conditions with potentially fatal consequences [45, 47].
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