Stereovision-based 3D obstacle detection for automotive safety driving assistance

被引：0

作者：

Ventroux, Nicolas ^{[1
]}

Schmit, Renaud ^{[1
]}

Pasquet, Frederic ^{[1
]}

Viel, Pierre-Emmanuel ^{[1
]}

Guyetant, Stephane ^{[1
]}

机构：

[1] CEA LIST, Embedded Comp Lab, F-91191 Gif Sur Yvette, France

来源：

2009 12TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC 2009) | 2009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 describes the implementation of a real-time architecture dedicated to obstacle detection in the automotive domain, and more particularly to pre-crash situations. The method, based on stereovision, is of high complexity and can not run in real-time on standard processors. Therefore, the application is accelerated with the use of special purpose hardware; in particular, a highly parallelized disparity engine is presented. A prototype board was built, which achieves a performance of 460 GOPS and computes the application at the rate of 22 frames per second, thus reaching road safety constraints.

引用

页码：394 / 399

页数：6

共 50 条

[31] Real-time Stereovision Approach of Object Detection for Driving Assistance
Xu, Chao
Liu, Fuqiang
Li, Zhipeng
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2431 - 2435
[32] Dynamic Obstacle Detection and Tracking Based on 3D Lidar
Zhong, Qixue
Liu, Yuansheng
Guo, Xiaoxiao
Ren, Lijun
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2018, 22 (05) : 602 - 610
[33] Obstacle detection based on qualitative and quantitative 3D reconstruction
Zhang, ZF
Weiss, R
Hanson, AR
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (01) : 15 - 26
[34] Obstacle detection based on qualitative and quantitative 3D reconstruction
State Univ of New York at Buffalo, Buffalo, United States
IEEE Trans Pattern Anal Mach Intell, 1 (15-26):
[35] Automated 3D Road Sign Mapping with Stereovision-based Mobile Mapping exploiting Depth Information from Dense Stereo Matching
Cavegn, Stefan
Nebiker, Stephan
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2012, (05): : 631 - 645
[36] 3D depth camera-based obstacle detection in the active safety system of an electric wheelchair
Seo J.
Kim C.W.
J. Inst. Control Rob. Syst., 7 (552-556): : 552 - 556
[37] Stereovision for 3D Information
George, Mary Ann
George, Anna Merine
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2012), 2014, 236 : 1595 - 1602
[38] 3D RECONSTRUCTION BASED ON STEREOVISION AND TEXTURE MAPPING
Li, Jingchao
Miao, Zhenjiang
Liu, Xiangqian
Wan, Yanli
PCV 2010: PHOTOGRAMMETRIC COMPUTER VISION AND IMAGE ANALYSIS, PT II, 2010, 38 : 1 - 6
[39] AUTOMATED 3D ROAD SIGN MAPPING WITH STEREOVISION-BASED MOBILE MAPPING EXPLOITING DISPARITY INFORMATION FROM DENSE STEREO MATCHING
Cavegn, S.
Nebiker, S.
XXII ISPRS CONGRESS, TECHNICAL COMMISSION IV, 2012, 39-B4 : 61 - 66
[40] An A-contrario Approach for Obstacle Detection in Assistance Driving Systems
Ammar, Moez
Le Hegarat-Mascle, Sylvie
Vasiliu, Marius
Mounier, Hugues
IMAGE ANALYSIS AND RECOGNITION, PT I, 2012, 7324 : 392 - 401

← 1 2 3 4 5 →