Object Detection Technique for Small Unmanned Aerial Vehicle

6th International Conference on Mechatronics

机械制造;无线电电子学

Faiz Bin Ramli, M.^2 ; Legowo, Ari^1 ; Shamsudin, Syariful Syafiq^2

Department of Mechanical Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Malaysia^1

Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Malaysia^2

关键词: Detection techniques;    Harris corner detector;    Micro aerial vehicle;    Obstacle detection;    Payload constraints;    Small unmanned aerial vehicles;    Stereo cameras;    Surf algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/260/1/012040/pdf
DOI  :  10.1088/1757-899X/260/1/012040

来源: IOP

【 摘 要 】

Obstacle detection and avoidance is desirable for UAVs especially lightweight micro aerial vehicles and is challenging problem since it has payload constraints, therefore only limited sensor can be attached the vehicle. Usually the sensors incorporated in the system is either type vision based (monocular or stereo camera) or Laser based. However, each of the sensor has its own advantage and disadvantage, thus we built the obstacle detection and avoidance system based multi sensor (monocular sensor and LIDAR) integration. On top of that, we also combine SURF algorithm with Harris corner detector to determine the approximate size of the obstacles. In the initial experiment conducted, we successfully detect and determine the size of the obstacles with 3 different obstacles. The differences of length between real obstacles and our algorithm are considered acceptable which is about -0.4 to 3.6.