With the widespread application of drone technology,the complexity of air traffic management has increasingly grown,particularly in the field of collision avoidance.Traditional drone collision avoidance methods mainly rely on information sharing or single-machine environmental perception,which have limitations in practical applications.This paper firstly points out the shortcomings of existing technologies,then proposes an innovative collision avoidance strategy.The strategy draws on traffic rules and optimizes the balance between information sharing and interference by equipping drones with specialized communication hardware,detailed obstacle avoidance rules,and efficient algorithms,which significantly reduces the computational complexity of the algorithms,making them suitable for large-scale drone deployment.Through software-in-the-loop simulation,the collision avoidance capabilities of drones were verified in scenarios with flight route intersections,overlaps,and the presence or absence of obstacles,while also meeting the speed constraints of drones.The experimental results demonstrate that the strategy is applicable and effective.Finally,this paper looks forward to the future development of drone collision avoidance technology,suggesting that the strategy will provide new ideas for the application of drones in a broader range of fields.
维普
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