Seminar presented by Dinh-Van NGUYEN, PhD student of MICA, INRIA - Date: 14h00, 1st December 2016 - Location: Seminar room, MICA Institute, Hanoi University of Sciences and Technology


Dinh-Van NGUYEN, PhD student of MICA, INRIA


Date: 1st December 2016, 14h00
Location: "seminar room", 9th floor, B1 building, MICA Institute, Hanoi University of Science and Technology
Language:  Presentation in English


Recently, the problem of fully autonomous navigation of vehicle has gained major interest from research institutes and private companies. In general, these researches rely on GPS in fusion with other sensors to track vehicle in outdoor environment. However, as indoor environment such as car park is also an important scenario for vehicle navigation, the lack of GPS poses a serious problem. This study presents an approach to use WiFi Fingerprinting as a replacement for GPS information in order to allow seamlessly transition of localization architecture from outdoor to indoor environment. Often, movement speed of vehicle in indoor environment is low (10-12km/h) in comparison to outdoor scene but still surpasses human walking speed (3-5km/h, which is usually maximum movement speed for effective WiFi localization). This paper proposes an ensemble classification method together with a motion model in order to deal with the above issue. Experiments show that proposed method is capable of imitating GPS behavior on vehicle tracking.

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