Vision-based adaptive and recursive tracking of unpaved roads
SCIE
SCOPUS
- Title
- Vision-based adaptive and recursive tracking of unpaved roads
- Authors
- Jeong, H; Oh, Y; Park, JH; Koo, BS; Lee, SW
- Date Issued
- 2002-01
- Publisher
- ELSEVIER SCIENCE BV
- 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.
- Keywords
- unpaved road recognition; Kalman filter; expectation-maximization; SYSTEM; NAVIGATION
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/19290
- DOI
- 10.1016/S0167-8655(01)00120-9
- ISSN
- 0167-8655
- Article Type
- Article
- Citation
- PATTERN RECOGNITION LETTERS, vol. 23, no. 1-3, page. 73 - 82, 2002-01
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