@inbook{13d96873e1aa44899dfadd61abf69e06,
title = "Mobile robot navigation based on visual landmark recognition",
abstract = " This paper presents a vision-based landmark recognition system for use in mobile robot navigation tasks. It is able to learn new landmarks with very little human intervention. The recognition system can read text inside landmarks, when present. The system uses genetic algorithms (GA) for both learning and recognition processes. Some of the landmarks learnt has been tested for indoor-outdoor topological navigation. The presented experimental illustrate the success of the proposed algorithm. The resulting localization system has been integrated in a complex navigation system onboard on a B21 mobile robot.",
keywords = "mobile robots, genetic algorithms, computer vision, landmark-based navigation",
author = "M Mata and JM Armingol and {de la Escatera}, A and MA Salichs",
year = "2002",
doi = "10.1016/S1474-6670(17)33134-8",
language = "English",
isbn = "9780080438993",
series = "IFAC Proceedings Volumes",
publisher = "Elsevier B.V.",
number = "19",
pages = "185--190",
editor = "H. Asama and H. Inoue",
booktitle = "Intelligent Autonomous Vehicles 2001: a Proceedings Volume from the 4th IFAC Symposium, Sapporo, Japan, 5-7 September 2001 (IFAC Proceedings Volumes)",
}