@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} }