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Combining Dense structure from Motion and Visual SLAM in a Behavior-based Robot Control Architecture

This publication appears in: International Journal of Advanced Robotic Systems

Authors: G. De Cubber, S. Ahmed Berrabah, L. Daniela Doroftei, Y. Baudouin and H. Sahli

Volume: 17

Pages: 27-38

Publication Year: 2010


Abstract:

In this paper, we present a control architecture for an intelligent outdoor mobile robot. This enables the robot to navigate in a complex, natural outdoor environment, relying on only a single on-board camera as sensory input. This is achieved through a twofold analysis of the visual data stream: a dense structure from motion algorithm calculates a depth map of the environment and a visual simultaneous localization and mapping algorithm builds a map of the surroundings using image features. This information enables a behavior-based robot motion and path planner to navigate the robot through the environment. In this paper, we show the theoretical aspects of setting up this architecture

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Prof. Hichem Sahli

+32 (0)02 629 291

hsahli@etrovub.be

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