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There is growing interest among smartphone users in the ability to determine their precise location in their environment for a variety of applications related to way finding, travel and shopping. While GPS provides valuable self-localization estimates, its accuracy is limited to approximately 10 meters in most urban locations. This paper focuses on the self-localization needs of blind or visually...
This paper proposes a method to localize a mobile camera by searching corresponding points between the mobile camera image and aerial images yielded by GIS database. A same object differently appears in the two images, because the mobile camera images are taken from the user's viewpoints (i.e., on the ground), and aerial images from much higher viewpoints. To reduce such differences in appearance,...
Taxiing within the airport of Unmanned Aerial Vehicles (UAV) is currently based on front camera video provided to the remote pilot and GPS information. The latter introduces a systematic and, most tricky, random error that cannot allow the complete automatic taxiing. This paper presents a novel approach where image processing allows a GPS signal rectification, making use of automatic recognition of...
The current proliferation of Unmanned Aircraft Systems provides an increasing amount of full-motion video (FMV) that, among other things, encodes geospatial intelligence. But the FMV is rarely converted into useful products, thus the intel potential is wasted. We have developed four concept demonstrations of methods to convert FMV into more immediately useful products, including: more accurate coordinates...
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