Features Image Analysis for Road Following Algorithm Using Neural Networks

Autor:	Patrick Y. Shinzato, Denis F. Wolf
Rok vydání:	2010
Předmět:	Artificial neural network Computer science business.industry Video camera Image processing Terrain Perceptron law.invention Image (mathematics) Identification (information) law Feature (computer vision) Computer vision Artificial intelligence business
Zdroj:	IFAC Proceedings Volumes. 43:306-311
ISSN:	1474-6670
DOI:	10.3182/20100906-3-it-2019.00054
Popis:	Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community. In order to execute a autonomous driving on outdoors, like street and roads, it is necessary that the vehicle identify parts of the terrain that can be traversed and parts that should be avoided. This paper describes an analyses of an image-based terrain identification based on different visual information using a multi-layer perceptron neural network. Experimental tests using a car and a video camera have been conducted in real scenarios to evaluate the proposed features and networks.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b654e4cf5d16b0d08ffbc5ee2045822 https://doi.org/10.3182/20100906-3-it-2019.00054 Zobrazit plný text záznamu