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Frequency Modulated Continuous Wave Radar And Video Fusion For Simultaneous Localization And Mapping, Andrew Stephen Kondrath
Frequency Modulated Continuous Wave Radar And Video Fusion For Simultaneous Localization And Mapping, Andrew Stephen Kondrath
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There has been a push recently to develop technology to enable the use of UAVs in GPS-denied environments. As UAVs become smaller, there is a need to reduce the number and sizes of sensor systems on board. A video camera on a UAV can serve multiple purposes. It can return imagery for processing by human users. The highly accurate bearing information provided by video makes it a useful tool to be incorporated into a navigation and tracking system. Radars can provide information about the types of objects in a scene and can operate in adverse weather conditions. The range and …
Simulating 3d With Mono Video, James J. Hooker
Simulating 3d With Mono Video, James J. Hooker
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There are different techniques to manipulate certain characteristics within mono videos to create a 3D effect when rendered and viewed. One is to display a selected frame to one eye and a different frame to the other eye so that movement of scene parts on the retina between different frames is interpreted by the viewer as visual disparity and, as a result, creates a 3D scene. Testing using StereoDisplay, a custom developed application using this technique, showed that it is effective in providing a 3D effect with some videos. Motion of the camera is required for a 3-D effect, restricting …
Fusion Of Video And Doppler Radar For Traffic Surveillance, Arunesh Roy
Fusion Of Video And Doppler Radar For Traffic Surveillance, Arunesh Roy
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Current Continuous Wave (CW) Doppler radar speed measurement systems lack the ability to distinguish multiple targets. Most systems can only identify the strongest (closest) target or the fastest target.
This dissertation is related to a fusion algorithm for a VIdeo-Doppler-radAR (Vidar) traffic surveillance system. The Vidar systems uses a robust matching algorithm which iteratively matches the information from a video camera and multiple Doppler radars corresponding to the same moving vehicle, and a stochastic algorithm which fuses the matched information from the video camera and Doppler radars to derive the vehicle velocity and angle information.
We use two heterogeneous sensors …