Unmanned aerial vehicle control method and device, storage medium and electronic equipment

Abstract

The invention relates to an unmanned aerial vehicle control method and device, a storage medium and electronic equipment, which relate to the technical field of unmanned aerial vehicle control. The method comprises the steps of determining an obstacle avoidance space according to the coordinates of an alternative position and the attribute information of a target unmanned aerial vehicle, the obstacle avoidance space comprising the space occupied by the target unmanned aerial vehicle when the target unmanned aerial vehicle travels to the alternative position and the alternative position is a point or a line segment, determining an obstacle avoidance time period according to the coordinates of the alternative position and the current driving information of the target unmanned aerial vehicle,wherein the obstacle avoidance time period comprises the time when the target unmanned aerial vehicle drives to the alternative position, determining whether the alternative position conflicts with other unmanned aerial vehicles or not according to the obstacle avoidance space, the obstacle avoidance time period and the route information of other unmanned aerial vehicles, and if the alternative position does not conflict with other unmanned aerial vehicles, adding the alternative position to the route of the target unmanned aerial vehicle. According to the method, the air route of the targetunmanned aerial vehicle is planned from two dimensions of time and space, so that collision can be effectively avoided, and the airspace utilization rate of air route planning can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of unmanned aerial vehicle control, and in particular, relates to a control method, device, storage medium and electronic equipment for an unmanned aerial vehicle. Background technique [0002] With the continuous development of drone technology, drones have been widely used in aerial photography, agriculture, distribution and other fields. In the distribution scenario, due to the large number of orders and the high requirements for real-time performance of the orders, there may be a large number of drones in the same area, and each drone needs to be able to plan the route reasonably to ensure that no There will be no collisions between man and machine. In related technologies, one way is to use the UAV to sense whether there are obstacles in the surrounding environment in real time, and judge whether to change the route according to the distance from the obstacle. However, this method relies too m...

AI Technical Summary

Problems solved by technology

In related technologies, one way is to use the UAV to sense whether there are obstacles in the surrounding environment in real time, and judge whether to change the route according to the distance from the obstacle. However, this method relies too much on the perception accuracy of the UAV. and data processing speed, it is only suitable for emergency collision avoidance scenarios, and it is impossible to plan a reasonable route for a large number of drones

Another way is to assign routes to each UAV according to space, so that the routes of any two UAVs do not overlap. However, the airspace utilization rate of this method is low.

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