| dc.description.abstract | Targeting on the problems of the legacy GPS navigating system, the dissertation employs the context-aware service to design the next generation GPS navigating system. The legacy GPS navigation system is frequently persecuted with GPS ranging errors, human cognitive errors, and disorientation problems. Such types of errors always lead to significant inaccurate navigation results; even more induce accidents to the user. Most of the previous efforts on solving those issues are focused on absolute and relative approaches for GPS ranging errors, use multi-window design to display 2D geographical data and simulated 3D landscape image to reduce human cognitive error, and through a preset time interval of U-turn warning before provide re-planning services. But these services ignore the contextual information of GPS data completely. To explore the contextual information of GPS data for the user’s navigational behavior, the dissertation presents the next generation GPS navigation system, i.e. a Live-view GPS navigation system, which integrates context-aware techniques to perceive user’s intention from continuous sensors data with Augmented Reality technologies to provide a human-centric navigating experience. The perceptive techniques of Position-aware, Orientation-aware and Waypoint-aware are designed to understand users’ movements and their surrounding geographical environment to solve the mentioned errors.
The proposed Position-aware service samples received GPS data into motion states by Newton’s Law of Motion and derived Newton Markov Model (NMM). Based on NMM, Position-aware service builds up a stable Transition Probability Matrix (TPM) and learns the carrier’s behavior in the training phase. From the perceptive data of the stable TPM and online received GPS data, Position-aware infers the behavior of the GPS carrier to verify the rationality of the GPS data and then interactively rectifies received GPS data online. The Orientation-aware is done by cross reference GPS course data and digital compass. If users don’t follow the planning path, the Waypoint-aware service exercises to infer whether users are lost or not to shorten the disorientation period under the navigation state transition. Finally, the augmented navigation service is further integrated to provide an intuitive navigation interface to solve human cognitive errors. Through the interaction of these services, Live-view GPS navigation system ensures that user’s cognitive map is consistent with the navigation map.
This search not only actually implements proposed Live-view GPS navigation system, but also conduct a series of experiments o validate the perception and usability of proposed perceptive services. The user studies confirmed the proposed Live-view GPS navigation system would supply a much more timely, intuitive and convenient navigation services than ever legacy GPS navigation system did.
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