Visual robot detection in RoboCup using neural networks

11Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Robot recognition is a very important point for further improvements in game-play in RoBoCUP middle size league. In this paper we present a neural recognition method we developed to find robots using different visual information. Two algorithms are introduced to detect possible robot areas in an image and a subsequent recognition method with two combined multi-layer perceptrons is used to classify this areas regarding different features. The presented results indicate a very good overall performance of this approach. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Kaufmann, U., Mayer, G., Kraetzschmar, G., & Palm, G. (2005). Visual robot detection in RoboCup using neural networks. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3276, pp. 262–273). Springer Verlag. https://doi.org/10.1007/978-3-540-32256-6_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free