Channel State Information Based Indoor Localization Error Bound Leveraging Pedestrian Random Motion

Channel State Information Fingerprinting Based Indoor Localization: a Deep Learning Approach by

With the fast growing demand of location-based services in indoor environments, indoor positioning based on fingerprinting has attracted a lot of interest due to its high accuracy. In this thesis, we present a novel deep learning based indoor fingerprinting system using Channel State Information (CSI), which is termed DeepFi. Based on three hypotheses on CSI, the DeepFi system architecture incl...

Image-Based Localization Aided Indoor Pedestrian Trajectory Estimation Using Smartphones

Accurately determining pedestrian location in indoor environments using consumer smartphones is a significant step in the development of ubiquitous localization services. Many different map-matching methods have been combined with pedestrian dead reckoning (PDR) to achieve low-cost and bias-free pedestrian tracking. However, this works only in areas with dense map constraints and the error accu...

Outdoor/Indoor Vision-Based Localization for Blind Pedestrian Navigation Assistance

Indoor Pedestrian Navigation Based on Conditional Random Field Algorithm

Foot-mounted micro-electromechanical systems (MEMS) inertial sensors based on pedestrian navigation can be used for indoor localization. We previously developed a novel zero-velocity detection algorithm based on the variation in speed over a gait cycle, which can be used to correct positional errors. However, the accumulation of heading errors cannot be corrected and thus, the system suffers fr...

Leveraging the capture effect for indoor localization

This Msc. Thesis builds upon a work-in progress called collocal which researched room-level indoor-localization. Localization is the action of estimating the position of a certain entity on a map. For example tracking the postion of furniture and other inventory in a building over a long period of time. To localize these entities other static nodes are employed that know their own location. The...