Abstract
With the increasingly wide application of UAV in military, civil and other fields, autonomous navigation and obstacle avoidance of UAV has become a hot issue of study, and path planning is one of core technologies to realize it. Based on traditional path planning method cannot juggle global optimal and real-time obstacle avoidance effectively, this paper proposes a new path planning method fusing the global and the local,it uses genetic algorithm in global and artificial potential field method in local, then gets an optimal path to reach the destination safely. Through simulation experiment, this method has good real-time and reliability, meeting the requirements of autonomous navigation and obstacle avoidance.
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