Exploring the impact of scenario and distance information on the reliability assessment of multi-sensor systems

Qiu M, Antesberger T, Bock F, German R (2022)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Event location: Maspalomas, Gran Canaria ES

DOI: 10.1109/seaa56994.2022.00058

Abstract

With the growth of self-driving technologies, the reliability analysis of automated driving systems has received considerable attention from both academia and industry. Safety of the intended functionality (SOTIF) serves as one of the primary standards to assure the reliability and safety of the automated driving system. One of its key issues is the performance limitations of perception sensor systems. Generally, the reliability of the perception sensor system depends on the different scenarios of the driving environment. In this work, we investigate the sensor features and dependencies of the front camera and the top LiDAR of the nuTonomy scenes (nuScenes) dataset with respect to scenarios (e.g., rain and night) and distance information (e.g., two distance-based regions of interest). In addition, we apply the obtained parameters to a proven analytical reliability model to examine the impact of scenario and distance information on the reliability assessment.

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How to cite

APA:

Qiu, M., Antesberger, T., Bock, F., & German, R. (2022). Exploring the impact of scenario and distance information on the reliability assessment of multi-sensor systems. In Proceedings of the 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2022. Maspalomas, Gran Canaria, ES.

MLA:

Qiu, Minhao, et al. "Exploring the impact of scenario and distance information on the reliability assessment of multi-sensor systems." Proceedings of the 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2022, Maspalomas, Gran Canaria 2022.

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