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Could We Issue Driving Licenses to Autonomous Vehicles?

Li, Jingyue; Zhang, Jin; Kaloudi, Nektaria
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2585444
Date
2018
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  • Publikasjoner fra CRIStin - NTNU [26591]
Original version
Lecture Notes in Computer Science. 2018, 11094 LNCS 473-480.   10.1007/978-3-319-99229-7_41
Abstract
Many companies are studying autonomous vehicles. One trend in the development of control algorithms for autonomous vehicles is the use of deep-learning approaches. The general idea is to simulate a human driver’s decision-making and behavior in various scenarios without necessarily knowing why the decision is made. In this position paper, we first argue that traditional safety analysis methods need to be extended to verify deep-learning-based autonomous vehicles. Then, we propose borrowing ideas from the process of issuing driving licenses to human drivers to verify autonomous vehicles. Verification of autonomous vehicles could focus on sufficient training as well as mental and physical health checks. Based on this position, we list several challenges that need to be addressed.
Publisher
Springer Verlag
Journal
Lecture Notes in Computer Science

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