A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles

A Formal and Quantifiable Log Analysis Framework for Test Driving of Autonomous Vehicles

We propose a log analysis framework for test driving of autonomous vehicles. The log of a vehicle is a fundamental source to detect and analyze events during driving. A set of dumped logs are, however, usually mixed and fragmented since they are generated concurrently by a number of modules such as...

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Bibliographic Details
Main Authors: Kyungbok Sung, Kyoung-Wook Min, Jeongdan Choi, Byung-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
autonomous vehicle testing
log analysis framework
failure detection
formal methods
metamorphic testing
Online Access:https://www.mdpi.com/1424-8220/20/5/1356

Internet

https://www.mdpi.com/1424-8220/20/5/1356

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