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Could We Issue Driving Licenses to Autonomous Vehicles?

  • Jingyue LiEmail author
  • Jin Zhang
  • Nektaria Kaloudi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11094)

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.

Keywords

Autonomous vehicle Artificial Intelligence Deep learning Verification Safety Security 

Notes

Acknowledgements

This work is supported by the SAREPTA (Safety, autonomy, remote control and operations of industrial transport systems) project, which is financed by Norwegian Research Council with Grant No. 267860.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Norwegian University of Science and TechnologyTrondheimNorway

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