The UAV Electro-Optical Tracking System

The UAV Electro-Optical Tracking System

The uav electro optical tracking system provides target search, capture and tracking functions.uav electro optical tracking system It consists of the following main equipment:

a) Image Processing & Information Fusion Processor (IPIFP):

This subsystem is responsible for receiving video image information of the EOS, target coordinate information of radar detection, alarm information transmitted by other sensors and display control instructions from the supervisory command center.uav electro optical tracking system It combines and analyzes the information to form local regional comprehensive situation.

b) Tracking Hardware System (HWS):

The HWS includes the coarse and fine tracking modules.uav electro optical tracking system The coarse tracking module utilizes a hybrid PAT mechanism consisting of FSMs and gimbals to reach a precise point-to-point link between the UAV and ground terminal. The FSMs provide image motion compensation and the gimbals complete pointing control. The gimbals are designed to be lightweight and high-performance, capable of adapting to the UAV's expected vibrations and disturbance caused by atmospheric turbulence.

In the coarse tracking stage, the gimbals are commanded by the coarse tracker to point to the MRR. The MRR then tracks the ground beacon by computing the error vector between the pointed direction and the received beacon direction and commands the servos to correct it, compensating for the UAV's micro-vibrations. The coarse tracker also monitors the performance of the gimbals and the FSM to ensure the system accuracy.

c) Display Function:

The display function displays the target trace, target track and track parameters (batch number, distance, location, speed) and ground clutter; records and displays historical record data; records and display the working time of the electro-optical reconnaissance equipment; sets and shows the alarm area and line; and operates the electro-optical equipment including switching on/off machine, azimuth pitching servo control, camera and infrared thermal imager control. It also identifies and removes low confidence tracks by a low-confidence track filter. The non-association ages of existing tracks that fail to be successfully associated with the new detection in a single frame will gradually increase, and once they exceed a certain threshold value, will be removed from the track list.

d) Tracking Algorithm:

The tracking algorithm used is Deep SORT, which has excellent multi-target tracking capabilities. However, it has difficulty with dynamic objects in complex environments, where the bounding box prediction accuracy of KF is reduced. Optical flow for motion estimation is introduced into this tracking scheme, which improves the prediction accuracy of KF and enhances the tracker's ability to detect and track moving targets. Moreover, the quantity of false positive paths generated by unreliable detection results is significantly reduced through a low-confidence track filter.

The position sensor device in the fine tracking stage is a PIN photo-detector and a high frame rate camera, which function as both a data receiver and a position sensing device. This allows for the establishment of a data link between the UAV and the base station via a retro-reflected FSO channel. In addition, an SLM is used for beam steering, which offers high flexibility and quick response by allowing the UAV to vary the optical beam divergence as needed.

Tags:eots system | uav payload