| Terminal Guidance of Surface to Surface Missile Based on Visual Information Using ORB Descriptor and Optical Flow |
| Paper ID : 1144-ASAT19 |
| Authors: |
|
ahmed mohamed awed *1, mohammed abozied1, Ali Maher2, Yehia Zakarya Zakarya3 1military technical college 2Computer engineering ,armed forces 3Military technical coolege |
| Abstract: |
| The guidance system performance is critical particularly, during the terminal phase. The fast response and high accuracy are the most leading parameters for the accurate terminal guided missile. Optical flow (OF) is widely used to enhance the gimbaled-seeker accuracy during the terminal phase of guided missiles to impact its targets precisely by minimizing the deviation between the actual and pre-calculated trajectories. But, errors in the matching algorithms always reduce system accuracy and share the problem of long execution time which leads to degrade the vision system overall performance. In this paper. To solve this problem a hybrid visual feature matching method is proposed depending on ORB descriptor and optical flow. Visual information is fed directly to guidance computer to acquire guidance command. The gimbal rotation affect optical flow, so it must be removed from total optical flow for more accuracy. The remaining optical flow is filtering and smoothing using the Kalman filter technique. The proposed method can deal with more complex image geometric deformation with high matching accuracy compared with image matching based SURF or SIFT features individually, and provide lower computations and faster processing time make it appropriate for terminal guidance of ballistic missiles. |
| Keywords: |
| Terminal Guidance, Seeker, PNG, Optical Flow, Image Matching ORB Descriptor. |
| Status : Paper Accepted (Oral Presentation) |
