Tracking of Feature Points for Visual SLAM with Multiple Cameras
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- Saruwatari Shotaro
- Faculty of Engineering, Kumamoto University
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- Hu Zhencheng
- Faculty of Engineering, Kumamoto University
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- Feraud Thomas
- Institut Pascal, Blaise Pascal University
Bibliographic Information
- Other Title
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- 全方位カメラによる自己位置推定のための特徴点追跡(学生若手発表,学生若手発表および一般)
- 全方位カメラによる自己位置推定のための特徴点追跡
- ゼンホウイ カメラ ニ ヨル ジコ イチ スイテイ ノ タメ ノ トクチョウテン ツイセキ
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Abstract
SLAM is method of measuring vehicle's position and making obstacle map. It used for robotic and Autonomous travel. Formerly, SLAM was based on vehicle speed sensor or gyro sensor but they can't cope idle or slip. So Visal SLAM based on image process has lately attention. This paper suggest Visual SLAM using connect cameras. It has wider visiblity than single camera and higher resolution than omni camera.
Journal
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- ITE Technical Report
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ITE Technical Report 37.4 (0), 5-8, 2013
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282679506705408
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- NII Article ID
- 110009594580
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 024272188
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed