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Titolo:
Vision-based adaptive and recursive tracking of unpaved roads
Autore:
Jeong, H; Oh, Y; Park, JH; Koo, BS; Lee, SW;
Indirizzi:
Pohang Univ Sci & Technol, Dept Elect Engn, Pohang 790784, South Korea Pohang Univ Sci & Technol Pohang South Korea 790784 790784, South Korea
Titolo Testata:
PATTERN RECOGNITION LETTERS
fascicolo: 1-3, volume: 23, anno: 2002,
pagine: 73 - 82
SICI:
0167-8655(200201)23:1-3<73:VAARTO>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Soggetto:
SYSTEM; NAVIGATION;
Keywords:
unpaved road recognition; Kalman filter; expectation-maximization;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Jeong, H Pohang Univ Sci & Technol, Dept Elect Engn, Pohang 790784, South Korea Pohang Univ Sci & Technol Pohang South Korea 790784 South Korea
Citazione:
H. Jeong et al., "Vision-based adaptive and recursive tracking of unpaved roads", PATT REC L, 23(1-3), 2002, pp. 73-82

Abstract

We present an approach to road recognition based on Kalman filtering and EM theory resulting in a fast recursive filter that can adaptively track unpaved roads. The road model uses linear dynamic equations and an ANN front end detects road boundaries. Kalman filters construct search neighborhoods and adapt the ANN to road conditions. The road model adapts to motion dynamics using EM. Experimental results are presented. (C) 2002 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/05/20 alle ore 16:31:05