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16 June 2023 Consistency assessment for vehicle validation based on multiple hierarchical projection GRA method
Mian Dai, Guoyu Zhang, Juan Du, Yuying Liu, Shuai Zhao
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Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127021C (2023) https://doi.org/10.1117/12.2679664
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
A MHP-RGA (Multiple Hierarchical Projection Grey Relational Analysis) method is proposed for consistency and effectiveness assessment between validation results, which is focus on ADAS or autonomous driving functions under designed test case. The complex and interactive systemic output trace could be projected and calculated to the normalized relevance degree from multi-dimensional concerned levels such as the system architecture, component constitution, functional behavior, and measurement approaches. It can identify the inconsistencies sources between different validation types or test rounds (e.g simulation vs. open-road testing) with quantification. The experiment of FCW (front collision warning) scenario shows its abilities and the wide application prospect.
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Mian Dai, Guoyu Zhang, Juan Du, Yuying Liu, and Shuai Zhao "Consistency assessment for vehicle validation based on multiple hierarchical projection GRA method", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127021C (16 June 2023); https://doi.org/10.1117/12.2679664
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KEYWORDS
Autonomous driving
Analytical research
Autonomous vehicles
Computer architecture
Design and modelling
Intelligence systems
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