@conference {Carbonaro1997147,
	title = {Landmark matching in a varying environment},
	booktitle = {Proceedings of the Euromicro Workshop on Advanced Mobile Robots, EUROBOT},
	year = {1997},
	note = {cited By 4},
	pages = {147-153},
	abstract = {A system for landmark tracking by a template matching approach is described. Route following based on landmarks may require many models to cover all different situations, so a genetic algorithm learning technique is used to adapt modelling parameters to environmental conditions (lighting, shadows, reflexes, etc.) during the tracking. In addition, the mobile robot self-localization is obtained by a stereo approach that uses the centres of matching in the two images to solve in a simple way the correspondence analysis in the 3-D position estimation. The experimental results show that the tracking robustness is improved when the adaptive template matching is used for landmark tracking.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0031356261\&partnerID=40\&md5=84da6f7845bf77d41951a6da2296155c},
	author = {A. Carbonaro and Primo Zingaretti}
}
