1,721,079 research outputs found
Student research highlight: Simultaneous tracking and shape estimation of extended targets
No full textTarget tracking algorithms are usually based on the assumption that the target extent is small compared to the measurement noise; hence, the target is modeled as a mathematical point. However, if the target extent is rather large, the target may cause multiple sensor measurements from different spatially distributed reflection centers. In this case, the modeling of the target extent is essential. In particular, the author looks at the random hypersurface model and its role in tracking; the tracking method is evaluated using a Microsoft ® Kinect™ sensor as an example
Laser Treatment of ITO and ZnO Nanoparticles for the Production of Thin Conducting Layers on Transparent Substrates
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Extended Object Tracking by Rao-Blackwellized Particle Filtering for Orientation Estimation
No full textTracking the Orientation and Axes Lengths of an Elliptical Extended Object
No full textExtended object tracking considers the simultaneous estimation of the kinematic state and the shape parameters of a moving object based on a varying number of noisy detections. A main challenge in extended object tracking is the nonlinearity and high-dimensionality of the estimation problem. This work presents compact closed-form expressions for a recursive Kalman filter that explicitly estimates the orientation and axes lengths of an extended object based on detections that are scattered over the object surface. Existing approaches are either based on Monte Carlo approximations or do not allow for explicitly maintaining all ellipse parameters. The performance of the novel approach is demonstrated with respect to the state-of-the-art by means of simulations
Fusion of Elliptical Extended Object Estimates Parameterized With Orientation and Axes Lengths
No full textTrack-to- Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
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