Spatio-temporal segmentation using laserscanner and video sequences

被引：0
|
作者：
Kaempchen, N [1 ]
Zocholl, M [1 ]
Dietmayer, KCJ [1 ]
机构：
[1] Univ Ulm, Dept Measurement Control & Microtechnol, D-89081 Ulm, Germany
来源：
PATTERN RECOGNITION | 2004年 / 3175卷
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：
Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation based on a spatial criterion often fails due to small object distances. Therefore, optical flow estimates are combined with distance measurements of a Laserscanner in order to separate objects with different motions even if their distance is vanishing. Results are presented on real measurements taken in potentially harmful traffic scenarios.
引用
收藏
页码：367 / 374
页数：8
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