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Found 4 papers, 0 papers with code
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
In this study, we propose a novel extended target tracking algorithm which is capable of representing the extent of dynamic objects as an ellipsoid with a time-varying orientation angle.
Extended Target Tracking and Classification Using Neural Networks
Extended target/object tracking (ETT) problem involves tracking objects which potentially generate multiple measurements at a single sensor scan.
Three-Dimensional Extended Object Tracking and Shape Learning Using Gaussian Processes
We propose a Gaussian process-based model to jointly estimate object kinematics, including position, orientation and velocities, together with the shape of the object for online and offline applications.
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence
The results indicate that the performance and computational complexity of the proposed approach make it an efficient alternative to existing mixture reduction methods.
