Parking-vehicles recognition using spatial temporal data (a study of mobile robot surveillance system using spatial temporal GIS part 2)

Kiichirou Ishikawa*, Jun Ichi Meguro, Yoshiharu Amano, Takumi Hashizume, Jun Ichi Takiguchi, Ryujirou Kurosaki, Michinori Hatayama

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, the unique omni-directional motion stereo method featuring robust epipolar estimation and hybrid use of the feature/area based matching, and the change-region recognition technique which uses dense color-textured depth map and 3D-GIS data for segmentation, are presented. The dense stereo imaging data, which is acquired by the coupled use of an ODV (Omni-Directional Vision) and a GPS/INS (Inertial Navigation Systems) by the motion stereo method, is classified in "change region" or "registered region" by the 3D-GIS's geometric model of the building. Hence, the changeable region like a parking-vehicle on the road is modeled as a hexahedron through surface recognition process, the position of vertexes and the image texture of three surfaces are measured, and are additionally registered in the Spatial Temporal GIS (Geographic Information System) as new object data. The proposed method can be applicable to a mobile robot surveillance system which is used in a site immediately after a disaster.

本文言語English
ホスト出版物のタイトルProceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
ページ151-157
ページ数7
DOI
出版ステータスPublished - 2005 12 1
イベント2005 IEEE International Workshop on Safety, Security and Rescue Robotics - Kobe, Japan
継続期間: 2005 6 62005 6 6

出版物シリーズ

名前Proceedings of the 2005 IEEE International Workshop on Safety, Security and Rescue Robotics
2005

Conference

Conference2005 IEEE International Workshop on Safety, Security and Rescue Robotics
国/地域Japan
CityKobe
Period05/6/605/6/6

ASJC Scopus subject areas

  • 工学(全般)

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