Towards a ground navigation system based in visual feedback provided by a mini UAV

作者: Mario Andrei Garzón Oviedo , Rigoberto Chill , Joao Ricardo Pereira Valente , Antonio Barrientos Cruz , David Zapata

DOI:

关键词: Obstacle avoidanceArtificial intelligenceVisual feedbackEngineeringFrame (networking)TrajectoryUnmanned ground vehicleComputer visionNavigation systemGround vehicles

摘要: This paper addresses initial efforts to develop a navigation system for ground vehicles supported by visual feedback from mini aerial vehicle. A visual-based algorithm computes the vehicle pose in world frame, as well possible obstacles within pathway. Relying on that information, and obstacle avoidance is used re-plan trajectory, ensuring an optimal detour. Finally, some experiments are presented employing unmanned (UGV) low cost (UAV).

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