Fast Dynamic Object Extraction using Stereovision based on Occupancy Grid Maps and Optical Flow

被引：0
|
作者：
Suganuma, Naoki [1 ]
Kubo, Takaaki [2 ]
机构：
[1] Kanazawa Univ, Inst Sci & Technol, Kakuma Machi, Kanazawa, Ishikawa 9201192, Japan
[2] Kanazawa Univ, Grad Sch, Kanazawa, Ishikawa, Japan
来源：
2011 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM) | 2011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：
The driving support system is most important research areas in intelligent transport system (ITS). Moreover, obstacle detection is one of the key technologies, and we have proposed such system based on stereovision system. Additionally, to assist driving safely, it is necessary to extract dynamic objects and alert driver faster. In our previous report, we proposed dynamic objects extraction method based on Occupancy Grid Maps. However we found that it takes a long time to detect it. So, in this paper, we propose a method to analyze motion of dynamic objects used 6D information comprised of 3D position and motion of objects, and extract the dynamic objects faster.
引用
收藏
页码：978 / 983
页数：6
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