Low cost is an important attribute of UAV swarm.Aiming at the limitation of traditional UAV object locating technology, which requires that a laser rangefinder be equipped on the photoelectric platform, a joint realization method for target detecting and locating without relying on information from the laser rangefinder is proposed.Firstly, the object detection network based on deep learning is used to identify the object from UAV aerial images, so as to obtain the position information of the object in image coordinate system.Secondly, the coordinates of the object under aircraft coordinate system is calculated according to the relative height of the UAV, parameters of the photoelectric platform, and the position information of the object in the image. Then, the position information of the object in aircraft coordinate system is converted to longitude and latitude information under WGS-84 coordinate system.Finally, the validity of the proposed method is verified by actual flight of UAVs.The results of actual flight prove that the proposed method can effectively complete the object locating task without relying on the laser rangefinder, which provides a technical support for the low-cost UAV swarm.