Abstract
Originally intended as surveillance sensors in maritime and aerospace domain, radar sensors are now key sensors for many autonomous systems [1] across domains with an increasing number of applications and functionalities. Compared to lidar and other optical sensors, radar is more robust against adverse weather conditions. Because of the low specific rain attenuation at 77 GHz within automotive ranges of interest [3, 4], radar shows less vulnerability towards adverse environmental conditions in automotive applications for automated cyber-physical systems (ACPS). Its ability to measure relative velocity to targets adds valuable information to ACPS applications, which include adaptive cruise control (ACC) for the use case “highway pilot”, blind spot detection in the use case “intersection crossing”, or fleet coordination for automated farming.
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Holder, M., Slavik, Z., D’hondt, T. (2020). Radar Signal Processing Chain for Sensor Model Development. In: Leitner, A., Watzenig, D., Ibanez-Guzman, J. (eds) Validation and Verification of Automated Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-14628-3_11
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