High-Level Sensor Models for the Reinforcement Learning Driving Policy Training

High-Level Sensor Models for the Reinforcement Learning Driving Policy Training

Performance limitations of automotive sensors and the resulting perception errors are one of the most critical limitations in the design of Advanced Driver Assistance Systems and Autonomous Driving Systems. Ability to efficiently recreate realistic error patterns in a traffic simulation setup not on...

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Bibliographic Details
Main Author:	Wojciech Turlej
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Electronics
Subjects:	sensor modeling traffic simulation reinforcement learning autonomous driving
Online Access:	https://www.mdpi.com/2079-9292/12/1/71

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