Research of target detection and distance measurement technology based on YOLOv5 and depth camera

Target detection and distance measurement technology based on YOLOv5 and depth camera is proposed for positioning the shelter in the field shelter hospitals deployment process by the shelter-transporting automated guided vehicle (AGV). This paper studies the principle of YOLOv5 target detection and the depth camera imaging and ranging model. The square capsule data set and the engineering implementation code of target detection and ranging technology are formed. The scenario test of AGV's positioning to the square capsule is completed. The test results show that the target detection and distance measurement technology proposed in this paper can be better applied to the actual engineering of AGVs for the positioning of the shelter, and the average accuracy of target detection is more than 95%. The distance measurement error is less than 0.1 m. The combination of target detection technology and depth camera can be effectively applied to the engineering practice, improving the field shelter hospitals' rapid deployment capability and intelligence.