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- Sadakuni Yudai
- Meiji University
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- Kuroda Yoji
- Meiji University
Bibliographic Information
- Other Title
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- 3D-LiDARとカメラを用いたリアルタイム物体位置検出
Description
<p>Traveling in an urban environment, the autonomous mobile robot needs to recognize the surrounding environment in detail. As a conventional method, an obstacle detection method using the 3D point cloud given by LiDAR can be cited. The 3D point cloud given by LiDAR can acquire detailed position information, but it si difficult to recognize what the detected obstacle is. In recent years, object detection using deep learning has attracted attention, leaving detection accuracy exceeding the model base method. However, depth information using a stereo camera is unstable depending on the environment. In this research, we propose a real-time three-dimensional object position detection method by integrating object detection information obtained from a camera and three-dimensional information acquired from 3D-LiDAR.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (0), 1A1-M12-, 2018
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390282763078602368
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- NII Article ID
- 130007551037
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed