๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Interval models for target tracking algorithms

โœ Scribed by Shan Cong; Lang Hong

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
643 KB
Volume
34
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper presents a new set of models which utilize the target information implied by more than two scans of measurements. The new models are called interval models. Simulations prove that interval models have significant advantages over existing models in certain common scenarios.

๐Ÿ“œ SIMILAR VOLUMES

Tracking algorithms for the active targe
Tracking algorithms for the active target MAYA
โœ T. Roger; M. Caamaรฑo; C.E. Demonchy; W. Mittig; H. Savajols; I. Tanihata ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 936 KB
A multi-space data association algorithm
A multi-space data association algorithm for target tracking systems
โœ Hong-wei Tian; Zhong-liang Jing ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 205 KB

In this paper, a multi-space data association algorithm based on the wavelet transform is proposed. In addition to carrying out the traditional hard logic data association in measurement space, the new algorithm updates the state of the target in the pattern space. Such a function significantly redu