Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system

Abstract : This paper presents a new radar sensor modeling for Advanced Driver Assistance Systems (ADAS) prototyping. This virtual model is embedded in the SiVIC platform dedicated to the simulation of vehicles, infrastructure and sensors. Lots of simulators already exist addressing radar simulation, but none of them is designed to address in the same time the following objectives: real-time computation, highly sampled signal generation, multiple radar technologies, and, hardware and software platform integration for ADAS prototyping. In this paper, we proposed such a solution solving this issue and a focus will be done on the radar sensor modeling, from material modeling to implemented technology and associated signal processing. First results of this radar sensor modeling is carried out in motorway scenario.
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https://hal.archives-ouvertes.fr/hal-01059948
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, September 2, 2014 - 1:58:51 PM
Last modification on : Monday, February 10, 2020 - 11:42:10 AM

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Steve Pechberti, Dominique Gruyer, Vincent Vigneron. Optimized simulation architecture for multimodal radar modeling: Application to automotive driving assistance system. 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes (ITSC 2013), Oct 2013, The Hague, Netherlands. pp.1119--1124, ⟨10.1109/ITSC.2013.6728382⟩. ⟨hal-01059948⟩

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