The invention provides a target
trajectory optimization method based on a DS evidence theory, and the method comprises: a data collection device obtaining multi-target information, and outputting a target coordinate position, a posture, a trajectory and a high-
low resolution image set; constructing a
generative adversarial network to reconstruct a
simulation target, and outputting a
simulation high-
low resolution image set of the coordinate position, posture and track of the
simulation target and a real target; detecting a
key frame calculation feature repetition rate, constructing a dictionary judgment loop based on the two-dimensional high-
low resolution image set and the three-dimensional target RGB
point cloud, and realizing
trajectory optimization; establishing a sample matrix to represent an output trajectory, including a real target trajectory, a
generative adversarial network output simulation target trajectory, and an optimized trajectory after
loopback detection; and performing
correctness judgment on the trajectory based on the spatial features, the image features and the trajectory information by utilizing a DS evidence theory, and outputting an
optimal trajectory. Theoptimal trajectory is output, and accurate information is provided for unmanned control, target recognition and detection,
region detection, path planning and the like.