Extended Object Tracking and Shape Classification using Random Matrices and Virtual Measurement Models
Author:
Affiliation:
1. University of Applied Sciences Konstanz (HTWG),Institute of System Dynamics (ISD),Konstanz,Germany
2. Fraunhofer FKIE,Dept. Sensor data and Information Fusion,Wachtberg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10361261/10360501/10361348.pdf?arnumber=10361348
Reference23 articles.
1. Extended Object Tracking: Introduction, Overview, and Applications;Granström;Journal of Advances in Information Fusion,2017
2. Bayesian approach to extended object and cluster tracking using random matrices
3. Tracking of extended objects and group targets using random matrices — a new approach;Feldmann
4. Tracking of Extended Objects and Group Targets Using Random Matrices
5. A Closed-Form Prediction Update for Extended Target Tracking Using Random Matrices
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