Development of Fail-Safe Algorithm for Exteroceptive Sensors of Autonomous Vehicles
This paper presents a fail-safe algorithm for the exteroceptive sensors of autonomous vehicles. The proposed fault diagnosis mechanism consists of three parts: (1) fault detecting by a duplication-comparison method, (2) fault isolating by possible area prediction and (3) in-vehicle sensor fail-safes...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/11/1774 |