Real-time floor recognition in indoor environments using TOF Camera

Masafumi Nakagawa, Tamaki Kobayashi

研究成果: Conference contribution

抜粋

Navigation in public spaces is an essential technique for pedestrian guidance and autonomous robot assistance. Navigation systems mainly consist of positioning systems, maps, route finding, and a user interface. Image acquisition or 3D sensing is also required to recognize the unknown environment around a pedestrian or robot. Therefore, we aim to develop a sense-and-avoid application for pedestrians and autonomous robots. We propose a real-time methodology to recognize the mobility area in an indoor environment using an active depth imager. In our experiments, we used a handheld time-of-flight (TOF) camera. We selected corridors, stairs, large rooms, and our laboratory in our campus as study areas. These areas consist of walls, glass walls, steps, and gaping holes. These objects were recognized with online processing, and notification for obstacle avoidance was issued after object recognition. Our experiments confirmed that our approach can process 3D measurements, classify objects, and notify for obstacle avoidance in real time.

元の言語English
ホスト出版物のタイトル37th Asian Conference on Remote Sensing, ACRS 2016
出版者Asian Association on Remote Sensing
ページ399-402
ページ数4
1
ISBN(電子版)9781510834613
出版物ステータスPublished - 2016
イベント37th Asian Conference on Remote Sensing, ACRS 2016 - Colombo, Sri Lanka
継続期間: 2016 10 172016 10 21

Other

Other37th Asian Conference on Remote Sensing, ACRS 2016
Sri Lanka
Colombo
期間16/10/1716/10/21

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • これを引用

    Nakagawa, M., & Kobayashi, T. (2016). Real-time floor recognition in indoor environments using TOF Camera. : 37th Asian Conference on Remote Sensing, ACRS 2016 (巻 1, pp. 399-402). Asian Association on Remote Sensing.