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2021 | OriginalPaper | Chapter

Physics-Based, Real-Time MIMO Radar Simulation for Autonomous Driving

Authors : Jeffrey Decker, Kmeid Saad, Dan Rey, Stefano M. Canta, Robert A. Kipp

Published in: Automatisiertes Fahren 2021

Publisher: Springer Fachmedien Wiesbaden

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Advanced driver assistance systems (ADAS) and autonomous vehicles (AV) require massive amounts of sensor data to test and train driving algorithms and to design sensor hardware. In many practical cases, these data must be generated at or beyond real-time rates of up to 30 sensor frames per second (fps). General-purpose, high-fidelity radar response simulators can take minutes or hours to simulate a single coherent processing interval (CPI) comprised of hundreds of radar chirps over many MIMO channels. This paper presents an end-to-end GPU implementation of the shooting and bouncing rays (SBR) method combined with algorithmic accelerations to achieve over 160 fps for a single-channel radar operating in a realistically complex traffic environment and sustained real-time performance for five single-channel radars or one 2 0 - channel radar. In addition, this paper illustrates, using open and standardized interfaces, the integration of this technology in closed loop simulation.

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Metadata
Title
Physics-Based, Real-Time MIMO Radar Simulation for Autonomous Driving
Authors
Jeffrey Decker
Kmeid Saad
Dan Rey
Stefano M. Canta
Robert A. Kipp
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-658-34754-3_7

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