Chanh Minh TranさんがICCEE 2025にてBest Presentation Awardを受賞｜芝浦工業大学_老挝赌场

研究内容

Real-time indoor positioning plays a crucial role in location-dependent applications, such as real-time navigation, smart building interaction, or walking support system for visually-impaired people. Thus, for research and development in such areas, implementation of a reliable indoor positioning system in constraint area is required for experimental evaluation. Although existing works on indoor positioning have proposed different types of solutions and reported promising performances, its implementation requires extensive efforts for setting up. This imposes difficulties that may discourage research and development efforts in location-dependent applications.

研究目的

For experimental evaluation of location-dependent applications, an accurate, low-cost, and fast-deployment solution is preferred. This work proposes a computer vision-based positioning system that requires only a general-purpose camera for capturing the experimented environment, from which the coordinate of the subject is determined and tracked in real-time.

今後の展望

Evaluation results have confirmed the proposed computer vision-based positioning system could provide accurate position with low latency and in different camera angles. Future works will extend the proposed system to facilitate large areas, 3-dimensional positioning, and multi-object/multi-human positioning.