Mapping an obstacles detection, stereo vision-based, software application on a multi-processor system-on-chip

被引：0
|
作者：
Greiner, Alain [1 ]
Petrot, Frederic [2 ]
Carrier, Mathieu [1 ]
Benabdenbi, Mounir [1 ]
Chotin-Avot, Roselyne [1 ]
Labayrade, Raphael [3 ]
机构：
[1] UPMC, LIP6, 4 Pl Jussieu, F-75005 Paris, France
[2] TIMA, SLS, F-38031 Grenoble, France
[3] LIVIC, INRETS, LCPC, F-78000 Versailles, France
来源：
2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM | 2006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：
In this paper, we present the implementation of a multi-threaded software application for pre-crash obstacle detection, using stereo vision, and the "Vdisparity" algorithm, that requires intensive computation. This application runs on a generic, low cost, massively parallel, multi-processor system-on-chip (MP-SoC). This hardware architecture is suitable for automotive area with respect to. performance, cost, and flexibility constraints. This hardware/software embedded application is able to process 40 stereoscopic pairs per second with 256 lines of 12 pixels images and a disparity range of, 256. Our architecture is made of 8 clusters, 30 general-purpose. 32-bit processors and 750 Kbytes embedded memory.
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页码：374 / +
页数：2
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