A Hybrid Architecture for Vision-Based Obstacle Avoidance

A Hybrid Architecture for Vision-Based Obstacle Avoidance

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This paper proposes a new obstacle avoidance method using a single monocular vision camera as the only sensor which is called as Hybrid Architecture.This architecture integrates a high performance appearance-based obstacle detection method into an optical flow-based navigation system.The hybrid architecture was designed and implemented to run both methods simultaneously and is moen finney able to combine the results of each method using a novel arbitration mechanism.The proposed strategy successfully fused two different vision-based obstacle avoidance methods using this arbitration mechanism in order to permit a safer obstacle avoidance system.

Accordingly, to establish the adequacy of the design of the obstacle avoidance system, a series of experiments were conducted.The results demonstrate the characteristics of the proposed architecture, and the results prove that its performance is somewhat better than the conventional turbosound ts-18sw700/8a optical flow-based architecture.Especially, the robot employing Hybrid Architecture avoids lateral obstacles in a more smooth and robust manner than when using the conventional optical flow-based technique.