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ID topic:	237
Partner Email:	srba@cs.aau.dk
Project Title:	Hybrid Indoor Tracking and Indoor Navigation
Abstract:	Indoor spaces accommodate considerable parts of human movements. Tracking movements in indoor spaces provides foundation to various useful applications akin to those enabled by GPS-based tracking in outdoor settings. Indoor navigation is one of such applications. However, the typical outdoor positioning service GPS is normally blocked and thus unavailable within indoor spaces. Therefore, indoor positioning technologies differ fundamentally from those typically assumed in outdoor settings. Technologies that have been proposed for short-range communication purpose, such as Wi-Fi, RFID, Bluetooth, and infrared, can be exploited for indoor positioning. They can be divided into two categories. In proximity-based technologies, objects are detected only when they are in the activation range of positioning devices deployed in the indoor space. Such technologies are exemplified by moving objects attached with RFID tags detected by RFID readers, and objects with Bluetooth interfaces detected by Bluetooth hotspots. On the other hand, fingerprinting technology rely on the distribution of radio signal strength that is pre-recorded in a so-called radio map. For example, the Wi-Fi signals at different positions within a building can be measured and recorded in a radio map beforehand. In the online positioning, the Wi-Fi signals received by a moving object are compared with the radio map. Using a specific determination method (e.g., interpolation or classification), the positions recorded in the radio map that have the most similar signal strength as that obtained in the current location are used to derive the object's current location. Unlike GPS that is able to report continuously positions and velocities of moving objects with varying accuracies, such technologies are unable to report velocities or accurate locations. In addition, existing works on indoor tracking assume a single type of positioning technology to be used in an indoor space of interest. Relying on a single positioning technology, unfortunately, bring about at least two shortcomings: limited service availability and low tracking accuracy. It is of interest to integrate different types of indoor positioning technologies in the same indoor space, in order to offer better services like indoor navigation. This project is intended to research on hybrid indoor tracking, with a particular application interest on indoor navigation. Specifically, we need to look into the following issues: 1. Effective data structures and efficient algorithms for indoor tracking using heterogenous indoor positioning technologies, typically Wi-Fi and Bluetooth. 2. Efficient indoor navigation algorithms that take into account mobile device energy consumption. 3. User-friendly mobile device interfaces for indoor navigation. 4. Experimentation using real settings of Wi-Fi access points, Bluetooth devices, and mobile devices.
Advisor:	Jiri Srba
Link:
Degree:	Master
Keywords: