A survey on autonomous vehicles simulators.

Autor: Meftah, Leila Haj, Braham, Rafik
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Zdroj: Journal of Information Assurance & Security; 2022, Vol. 17 Issue 1, p35-45, 11p
Abstrakt: Driver mistake due to inattention is undoubtedly the most prevalent cause of road accidents. And this is unlikely to change very soon, given to increased mobile phone usage, incar entertainment systems, and, of course, more frequent traffic jams in densely populated places. Autonomous vehicles, such as driver-less automobiles, have the potential to reduce traffic accidents and congestion. Simulations are a safer, more efficient, and less expensive way to evaluate this strategy than real testing. This article provided the many autonomous vehicle simulators that are currently available. It examines the state of the art in driver-less vehicle simulation platforms and explores the specific goals that a particular simulator intends to achieve in order to help in testing the interactions of many autonomous vehicles in metropolitan networks. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index