A Hybrid Approach to Detection and Tracking of Unmanned Aerial Vehicles

2020 ◽  
Author(s):  
Nicola Espsoito ◽  
Umberto Fontana ◽  
Giampiero D'autilia ◽  
Lorenzo Bianchi ◽  
Michael Alibani ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Hybrid Approach ◽  
Detection And Tracking ◽  
Aerial Vehicles

Multi-sensor field trials for detection and tracking of multiple small unmanned aerial vehicles flying at low altitude

2017 ◽  
Author(s):  
Martin Laurenzis ◽  
Sebastien Hengy ◽  
Alexander Hommes ◽  
Frank Kloeppel ◽  
Alex Shoykhetbrod ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Field Trials ◽  
Detection And Tracking ◽  
Aerial Vehicles ◽  
Sensor Field ◽  
Low Altitude

Improved Vision-Based Algorithm for Unmanned Aerial Vehicles Autonomous Landing

2013 ◽  
Vol 273 ◽  
pp. 560-565 ◽  
Author(s):  
Yun Ji Zhao ◽  
Hai Long Pei
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Feature Points ◽  
Autonomous Landing ◽  
Detection And Tracking ◽  
Aerial Vehicles ◽  
Camshift Algorithm ◽  
Aerial Vehicle ◽  
Speed Up ◽  
Improved Algorithm

In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly affect the control system. An improved algorithm of SURF (Speed Up Robust Features) will resolve the problem which is inefficiency of the SURF algorithm in the autonomous landing system of UAV. The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift algorithm; second, detect the feature points in the region of the above acquired using the SURF algorithm; third, do the matching between the template target and the region of target in frame. The results of experiments and theoretical analysis testify the efficiency of the algorithm.

Sign in / Sign up

Export Citation Format

Share Document