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6 February 2022 Research on reliability analysis of autonomous driving using Markov chain
Xianzho Xia, Yang Wang, Li Hongpeng, Wenxia Xi
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Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 120810I (2022) https://doi.org/10.1117/12.2624050
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China
Abstract
This paper considers the influence of external controllable factors and external uncontrollable factors, and based on the self-reaction ability, learning ability, and emergency handling ability of the automatic driving system, establishes the behavior model of the automatic driving system, and replaces the reliable flowchart of automatic driving based on the model, and analyzes Quantitative flow chart, using Markov chain theory to transform the quantified flow chart into a Markov probability transition diagram; list the probability transition matrix according to the probability transition diagram, solve the stable distribution of the matrix, and use the stable distribution to solve the behavior of the autonomous driving system reliability.
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Xianzho Xia, Yang Wang, Li Hongpeng, and Wenxia Xi "Research on reliability analysis of autonomous driving using Markov chain", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 120810I (6 February 2022); https://doi.org/10.1117/12.2624050
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KEYWORDS
Reliability
Detection and tracking algorithms
Machine learning
Analytical research
Control systems
Information fusion
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