Systematic analysis of the sensor coverage of automated vehicles using phenomenological sensor models∗
Ponn T, Muller F, Diermeyer F (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-June
Pages Range: 1000-1006
Conference Proceedings Title: IEEE Intelligent Vehicles Symposium, Proceedings
Event location: Paris, FRA
ISBN: 9781728105604
Abstract
The objective of this paper is to propose a systematic analysis of the sensor coverage of automated vehicles. Due to an unlimited number of possible traffic situations, a selection of scenarios to be tested must be applied in the safety assessment of automated vehicles. This paper describes how phenomenological sensor models can be used to identify system-specific relevant scenarios. In automated driving, the following sensors are predominantly used: camera, ultrasonic, Radar and Lidar. Based on the literature, phenomenological models have been developed for the four sensor types, which take into account phenomena such as environmental influences, sensor properties and the type of object to be detected. These phenomenological models have a significantly higher reliability than simple ideal sensor models and require lower computing costs than realistic physical sensor models, which represents an optimal compromise for systematic investigations of sensor coverage. The simulations showed significant differences between different system configurations and thus support the system-specific selection of relevant scenarios for the safety assessment of automated vehicles.
Involved external institutions
Germany (DE)How to cite
APA:
Ponn, T., Muller, F., & Diermeyer, F. (2019). Systematic analysis of the sensor coverage of automated vehicles using phenomenological sensor models∗. In IEEE Intelligent Vehicles Symposium, Proceedings (pp. 1000-1006). Paris, FRA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Ponn, Thomas, Fabian Muller, and Frank Diermeyer. "Systematic analysis of the sensor coverage of automated vehicles using phenomenological sensor models∗." Proceedings of the 30th IEEE Intelligent Vehicles Symposium, IV 2019, Paris, FRA Institute of Electrical and Electronics Engineers Inc., 2019. 1000-1006.
BibTeX: Download