2021 Fiscal Year Final Research Report
Establishment of Pedestrian and Personal Mobility Navigation Technology Based on Pre-recorded Route Video
Project/Area Number |
17H01773
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Human interface and interaction
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Research Institution | University of Tsukuba |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
北原 格 筑波大学, 計算科学研究センター, 教授 (70323277)
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Project Period (FY) |
2017-04-01 – 2021-03-31
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Keywords | コンピュータビジョン / 映像解析 / 一人称映像 / 視覚障害者 / 歩行支援 / 歩行ナビゲーション / SLAM |
Outline of Final Research Achievements |
We have developed an ICT infrastructure for robust and precise guidance of pedestrians and personal mobility devices along video paths specified by camera shots. In addition, from the viewpoint that safety should be ensured in guiding pedestrians, we promoted research on safety confirmation in the area in front of pedestrians. We realized an interface that provides appropriate navigation for the visually impaired as the main target of support. As a social watchdog for the visually impaired, we also realized a new method to accurately estimate the posture of walking with a white cane.
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Free Research Field |
コンピュータビジョンとパターン認識応用
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Academic Significance and Societal Importance of the Research Achievements |
GPSなどのインフラに頼ることなく,スタンドアロンで1メートル単位の経路上ナビゲーションを実現する本研究成果は,視覚障害者の自由な外出への大きな足掛かりとなる.10cm程度の目標物に対する誘導も実現できていることから,押しボタン等の小さいものに対しても今後は直接誘導することが可能である.白杖利用時の姿勢推定技術は,視覚障害者の状態を細やかに調査することを今後可能にする.
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