Título: Multi-cue visual obstacle detection for mobile robots
Autores: Manso Fernández-Arguelles, Luis Jesús
Bustos García de Castro, Pablo
Bachiller Burgos, Pilar
Moreno del Pozo, José
Fecha: 2010-02-11
2010-02-11
2010-01
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Autonomous robots
Visual navegation
Obstacle detection
Ciencia de la Computación e Inteligencia Artificial
Descripción: Autonomous navigation is one of the most essential capabilities of autonomous robots. In order to navigate autonomously, robots need to detect obstacles. While many approaches achieve good results tackling this problem with lidar sensor devices, vision based approaches are cheaper and richer solutions. This paper presents an algorithm for obstacle detection using a stereo camera pair that overcomes some of the limitations of the existing state of the art algorithms and performs better in many heterogeneous scenarios. We use both geometric and color based cues in order to improve its robustness. The contributions of the paper are improvements to the state of the art on single and multiple cue obstacle detection algorithms and a new heuristic method for merging its outputs.
This work has been supported by grant PRI09A037 from the Ministry of Economy, Trade and Innovation of the Extremaduran Government.
Idioma: Inglés

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