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Metamorphic Testing of Driverless Cars.

The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated t...

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Published in:Communications of the ACM Vol. 62; no. 3; pp. 61 - 68
Main Authors: ZHI QUAN ZHOU, LIQUN SUN
Format: Article
Published: Association for Computing Machinery Mar2019
Subjects:
Automated guided vehicle systems
Computer software testing
Driverless cars
LIDAR
Radar
Online Access:View this record in EBSCOhost
Summary:The article discusses the use of metamorphic testing to test driverless cars, specifically their untestable software, detecting fatal errors in autonomous vehicles' onboard computer systems. Topics include metamorphic testing's cost-effective ability to address the oracle problem and the automated test-case-generation problem, and the use of both LiDAR obstacle perception to determine an object's shape and position and radar to estimate the velocity of moving obstacles in autonomous vehicles.