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

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, the authors 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.

• Record URL:
  https://doi.org/10.1109/ITSC.2013.6728382
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6712176
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Pechberti, S
  • Gruyer, D
  • Vigneron, V
• Conference:
  • 16th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: The Hague , Netherlands
  • Date: 2013-10-6 to 2013-10-9
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1119-1124
• Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

Subject/Index Terms

• TRT Terms: Driver support systems; Optimization; Radar; Sensors; Simulation
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01563435
• Record Type: Publication
• ISBN: 9781479929146
• Files: TRIS
• Created Date: May 18 2015 11:03AM