A based approach to collision prediction at traffic intersections

被引：96

作者：

Atev, S ^{[1
]}

Arumugam, H ^{[1
]}

Masoud, O ^{[1
]}

Janardan, R ^{[1
]}

Papanikolopoulos, NP ^{[1
]}

机构：

[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2005年 / 6卷 / 04期

基金：

美国国家科学基金会;

关键词：

collision prediction; machine vision; real-time systems; tracking; traffic control (transportation);

D O I：

10.1109/TITS.2005.858786

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Monitoring traffic intersections in real time and predicting possible collisions is an important first step towards building an early collision-warning system. We present a vision-based system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. Innovative low-overhead collision-prediction algorithms (such as the one using the time-as-axis paradigm) are presented. The proposed system was able to perform successfully in real time on videos of quarter-video graphics array (VGA) (320 x 240) resolution under various weather conditions. The errors in target position and dimension estimates in a test video sequence are quantified and several experimental results are presented.

引用

页码：416 / 423

页数：8

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