Abstract
Driving assistance or automated driving depends to a large extent on the correct perception of the environment. Because automated driving functions have to be proven safe under all operational conditions, worst-case assumptions concerning the sensors and also the environment have to be assumed. In this paper, we propose a scheme that allows taking weaker assumptions. This is based on a continuous assessment of the quality of sensor data, a model of the interaction between the control process and the environment and the possibility to adapt the performance. We present an example of a car autonomously driving a simple course and adapting its speed according to the environment and the confidence in the perceived sensor data. We derive a set of simple safety rules used to adjust performance that, in the case given in the example affects the cruising speed.
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Brade, T., Jäger, G., Zug, S., Kaiser, J. (2014). Sensor- and Environment Dependent Performance Adaptation for Maintaining Safety Requirements. In: Bondavalli, A., Ceccarelli, A., Ortmeier, F. (eds) Computer Safety, Reliability, and Security. SAFECOMP 2014. Lecture Notes in Computer Science, vol 8696. Springer, Cham. https://doi.org/10.1007/978-3-319-10557-4_7
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DOI: https://doi.org/10.1007/978-3-319-10557-4_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10556-7
Online ISBN: 978-3-319-10557-4
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