Real-time Disaster Self-evacuation with LBS and AR Enhanced Analogue Disaster Maps for Foreign Tourists--System Design and Effectiveness Tests

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K20563
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 80020:Tourism studies-related
• Research Institution: The University of Tokyo
• Principal Investigator: SI RUOCHEN 東京大学, 空間情報科学研究センター, 客員研究員 (50814026)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: Indoor positioning / AR navigation / Tourism / Disaster evacuation

Outline of Final Research Achievements

The research succeeded in developing algorithms and mobile applications to combine analogue disaster maps with Location-based Services (LBS), which enables functions including positioning, searching and navigation on conventional analogue maps. This technology makes it more convenient for foreigners who does not understand Japanese for traveling and evacuation by local thematic analogue maps.
Beside outdoor positioning by GNSS, the research also explored solutions for indoor positioning, where GNSS cannot be used. The research succeeded in developing algorithms and applications which enable AR-enhanced indoor positioning. The research explored visual-based infra-free positioning technology, which achieved advantages of high positioning accuracy, low cost and user-friendly AR visualization. It is very useful in underground shopping streets and subway stations.

Free Research Field

Location-based Services

Academic Significance and Societal Importance of the Research Achievements

当研究を利用して、観光イラストマップ、避難看板マップなど伝統なアナログマップのモビールスマートデバイスでの活用が可能になる。特に日本語を使用しにくい外国観光者にとして、当研究のマップでの観光案内と避難案内が使用しやすい。当研究結果は室内外両方もつあえるから応用範囲が広い。将来地域創生、来日観光、緊急避難にの応用と貢献を期待する。