International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 175 - Number 31 |
Year of Publication: 2020 |
Authors: Dheeraj Komandur, Sagar Karki, Shebin Silvister, Gajendra Kashyap |
10.5120/ijca2020920860 |
Dheeraj Komandur, Sagar Karki, Shebin Silvister, Gajendra Kashyap . Descent Angle Calculation for UAVs using Monocular Camera. International Journal of Computer Applications. 175, 31 ( Nov 2020), 28-33. DOI=10.5120/ijca2020920860
In this paper, an approach for solid angle calculation for autonomous landing of UAVs/AVs using a monocular camera and 2D image of the helipad is introduced. Autonomous landing has always been a prime research field that is complex and unique in the field of automation. The proposed method that uses object detection and homography to generate relative flight angles - Yaw, Pitch, and Roll. First, an object detection algorithm is used to locate the landing pad in an image and extract the required region of interest (ROI). This ROI is then preprocessed using OpenCV and key corners of the landing pad are extracted. Further, these extracted coordinates are mapped to a reference image and relative homography is calculated. Decomposing the homography matrix results in Euler angles which give the angles of UAVs/AVs with respect to the landing pad.