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Tools and Methodologies for Autonomous Driving Systems | IEEE Journals & Magazine | IEEE Xplore

Tools and Methodologies for Autonomous Driving Systems


Abstract:

Due to the advent of active safety features and automated driving capabilities, the scope and complexity of embedded computing systems within automobiles continue to incr...Show More

Abstract:

Due to the advent of active safety features and automated driving capabilities, the scope and complexity of embedded computing systems within automobiles continue to increase. Moreover, with the introduction of communication technologies like dedicated short range communications (DSRC), autonomous vehicles can also communicate with each other, pedestrians and the infrastructure. As the number of applications and levels of autonomy within such connected and autonomous vehicles (CAVs) increase the inherent safety-critical nature of CAVs imposes strict requirements in terms of testing and verification of system correctness. Hence, appropriate tools and methodologies are to manage these increasing complexity and testing requirements. In this paper, we present a standard reference architecture for CAVs and the tools and methodologies we use to model, design, develop and test systems to realize CAV applications.
Published in: Proceedings of the IEEE ( Volume: 106, Issue: 9, September 2018)
Page(s): 1700 - 1716
Date of Publication: 23 July 2018

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