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

被引：0
|
作者：
Pechberti, Steve [1 ]
Gruyer, Dominique [1 ]
Vigneron, Vincent [2 ]
机构：
[1] IFSTTAR, LIVIC, 14 Route Minire, F-78000 Versailles, France
[2] UEVE, IBISC, F-91020 Evry, France
来源：
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1119 / 1124
页数：6
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