to DMG-Lib main page
Home  · Site map  · Contact  ·
DMG-Lib Home + News
Browse
Search
Experience DMG-Lib
About us
Help
 		 
Advanced Search   Mechanism Search

Maximum Likelihood Joint Tracking and Association in Strong Clutter : Massima somiglianza per il tracciamento dei giunti e associazioni in grosse differenze, in: International Journal of Advanced Robotic Systems
thumbnail
Dokument öffnen (benötigt JavaScript)   Open document

General information
Author Perlovsky, Leonid I.; Deming, Ross W.
Published  InTech Open Access Publisher, 2013
Edition  
Extend  
ISBN
Abstract We have developed a maximum likelihood
formulation for a joint detection, tracking and association
problem. An efficient non‐combinatorial algorithm for
this problem is developed in case of strong clutter for
radar data. By using an iterative procedure of the
dynamic logic process “from vague‐to‐crisp” explained in
the paper, the new tracker overcomes the combinatorial
complexity of tracking in highly‐cluttered scenarios and
results in an orders‐of‐magnitude improvement in signalto‐
clutter ratio.
Collections
Journal articles
2000 and later
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
Linked items
Documents: International Journal of Advanced Robotic Systems
Permanent links
DMG-Lib FaviconDMG-Lib https://www.dmg-lib.org/dmglib/handler?docum=32511009
Europeana FaviconEuropeana  http://www.europeana.eu/portal/record/2020801/dmglib_handler_docum_32511009.html
PDF FaviconPDF  Maximum Likelihood Joint Tracking and Association in Strong Clutter
Data provider
UCAUniv. Cassino  http://webuser.unicas.it/weblarm/larmindex.htm
Administrative information
Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

×