@article {Zingaretti1998177,
	title = {Route following based on adaptive visual landmark matching},
	journal = {Robotics and Autonomous Systems},
	volume = {25},
	number = {3-4},
	year = {1998},
	note = {cited By 3},
	pages = {177-184},
	abstract = {Route following based on visual landmark matching may require many models to cover all different situations. This paper describes a system that is able to adapt template{\textquoteright}s modelling parameters to environmental conditions (lighting, shadows, etc.) by a genetic learning technique. In addition, the mobile robot self-localisation is obtained by a stereo approach that uses the centres of matching in the two images to solve in a simple way the correspondence problem in the 3D position estimation. The experimental results show that the tracking robustness is improved, while using a small set of templates. {\textcopyright} 1998 Elsevier Science B.V. All rights reserved.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0032208707\&partnerID=40\&md5=8655435896f671afeeb70009f9086bee},
	author = {Primo Zingaretti and A. Carbonaro}
}
