Essays about: "GPS denied environment localization"
Found 4 essays containing the words GPS denied environment localization.
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1. Skyline Delineation for Localization in Occluded Environments : Improved Skyline Delineation using Environmental Context from Deep Learning-based Semantic Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be used in monocular camera localization methods by comparing delineated skylines to digital elevation model data to estimate a position based on known terrain. READ MORE
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2. Deep visual place recognition for mobile surveillance services : Evaluation of localization methods for GPS denied environment
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Can an outward facing camera on a bus, be used to recognize its location in GPS denied environment? Observit, provides cloud-based mobile surveillance services for bus operators using IP cameras with wireless connectivity. With the continuous gathering of video information, it opens up new possibilities for additional services. READ MORE
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3. Deep Feature UAV Localization in Urban Areas and Agricultural Fields and Forests
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The reliance on GPS for Unmanned Aerial Vehicle (UAV) localization limits the areas of application to places with a stable GPS signal. The emergence of deep learning in computer vision has made deep learning methods for visual UAV navigation a promising candidate for autonomous GPS denied localization. READ MORE
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4. The Effects of Sensor Fusion on Localisation in a Sparse, Outdoor Environment
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : This thesis compares the results of a localisation algorithm for a mobile robot in both a sparse and a densely featured environment whilst varying key parameters. The software and hardware required to enable the mobile robot to localise itself in the sparsely featured, GPS-denied, outdoor environment is described. READ MORE