作者: Mario Andrei Garzón Oviedo , Rigoberto Chill , Joao Ricardo Pereira Valente , Antonio Barrientos Cruz , David Zapata
DOI:
关键词: Obstacle avoidance 、 Artificial intelligence 、 Visual feedback 、 Engineering 、 Frame (networking) 、 Trajectory 、 Unmanned ground vehicle 、 Computer vision 、 Navigation system 、 Ground 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).