Abstract: A drag reduction device includes a first part and a second part. The first part is attached to the second part, and the second part is detachably attached to a body. The first part is made of a flexible material and configured to be able to change its shape under the action of a flow field. According to this application, through providing the drag reduction device on the body in need of drag reduction by detachably attaching the drag reduction device to the body, the need to modify the shape of the body itself is dispensed with. According to this application, the drag reduction device is very simple in structure and easy to assemble and disassemble, almost does not add weight to the body and has very low cost. According to this application, the drag reduction device is able to change its shape without consuming energy at all. Moreover, under different flow field conditions, it can assume different shapes that adapt it to the flow field conditions.

Abstract: The present invention relates to a light-guiding assembly having a first light-guiding element, which is allocated to a first light source and used to receive and guide light from the first light source, and is provided with a first light incidence portion, a first light exit portion, and a first intermediate optical portion that is arranged between them. A second light-guiding element, which is allocated to a second light source and used to receive and guide light from the second light source, and is provided with a second light incidence portion, a second light exit portion, and a second intermediate optical portion that is arranged between them. Wherein the first light exit portion faces the second intermediate optical portion, and light leaving the first light exit portion can pass through the second intermediate optical portion and exit from the second light exit portion.

Abstract: The disclosure provides a dynamic recovery method and system for UAVs and storage medium. On the basis of obtaining the environmental information of UAVs, combined with different factors such as the following task quantity of each UAV, the distance from the current position of each UAV to the recovery point, current performance of each UAV, total cost function is constructed, and optimization is carried out through improved particle swarm optimization algorithm. Then on the premise of the lowest recovery cost, the priority of each UAV is obtained. For the ordered UAV, the route to the recovery point is determined. At the same time, it is necessary to consider conflict resolution of UAVs when encountering obstacles in the flight process, as well as the possible failure in line recovery. At this time, it is necessary to reorder some hovering UAVs to ensure flight safety of UAVs and robustness of the algorithm.

Abstract: The present invention relates to a light-guiding assembly having a first light-guiding element, which is allocated to a first light source and used to receive and guide light from the first light source, and is provided with a first light incidence portion, a first light exit portion, and a first intermediate optical portion that is arranged between them. A second light-guiding element, which is allocated to a second light source and used to receive and guide light from the second light source, and is provided with a second light incidence portion, a second light exit portion, and a second intermediate optical portion that is arranged between them. Wherein the first light exit portion faces the second intermediate optical portion, and light leaving the first light exit portion can pass through the second intermediate optical portion and exit from the second light exit portion.

Abstract: This disclosure provides an UAV path planning method and device guided by the safety situation, UAV and storage medium, the method comprising: acquiring the image in the front view of the UAV, determining the type(s) of obstacle(s) and threat degree corresponding to each area, obtaining the coordinates of the obstacle(s) relative to the UAV in each area in the front view of the UAV and the distance from the obstacles in each area to the UAV, calculating the safety situation of each area according to the threat degree and distance corresponding to each area, calculating the cost data corresponding to each area according to the distance from each area to the target location and the safety situation of each area, determining the flight direction of the UAV according to the area with the minimum cost data.

Abstract: The disclosure provides a dynamic recovery method and system for UAVs and storage medium. On the basis of obtaining the environmental information of UAVs, combined with different factors such as the following task quantity of each UAV, the distance from the current position of each UAV to the recovery point, current performance of each UAV, total cost function is constructed, and optimization is carried out through improved particle swarm optimization algorithm. Then on the premise of the lowest recovery cost, the priority of each UAV is obtained. For the ordered UAV, the route to the recovery point is determined. At the same time, it is necessary to consider conflict resolution of UAVs when encountering obstacles in the flight process, as well as the possible failure in line recovery. At this time, it is necessary to reorder some hovering UAVs to ensure flight safety of UAVs and robustness of the algorithm.