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Extended Target Tracking Using Polynomials With Applications to Road-Map Estimation
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Date
2011-01-01
Author
Lundquist, Christian
Orguner, Umut
Gustafsson, Fredrik
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This paper presents an extended target tracking framework which uses polynomials in order to model extended objects in the scene of interest from imagery sensor data. State-space models are proposed for the extended objects which enables the use of Kalman filters in tracking. Different methodologies of designing measurement equations are investigated. A general target tracking algorithm that utilizes a specific data association method for the extended targets is presented. The overall algorithm must always use some form of prior information in order to detect and initialize extended tracks from the point tracks in the scene. This aspect of the problem is illustrated on a real life example of road-map estimation from automotive radar reports along with the results of the study.
Subject Keywords
Signal Processing
,
Electrical and Electronic Engineering
URI
https://hdl.handle.net/11511/35978
Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
DOI
https://doi.org/10.1109/tsp.2010.2081983
Collections
Department of Electrical and Electronics Engineering, Article
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C. Lundquist, U. Orguner, and F. Gustafsson, “Extended Target Tracking Using Polynomials With Applications to Road-Map Estimation,”
IEEE TRANSACTIONS ON SIGNAL PROCESSING
, pp. 15–26, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35978.