Abstract

To improve the sensor information redundancy of small Unmanned Aerial Vehicles(UAVs), an image-based attitude estimation approach is proposed. Based on aerial image segmentation and between-class variance analysis, a horizon extraction strategy is put forward, and then an attitude estimation model is established referring to the knowledge of camera projective geometry. To verify the effectiveness of the proposed algorithm, flight tests are carried out on a small fixed-wing UAV Cessna172-140 with Go - ProHero1 camera on board. It is shown that the proposed algorithm can give an accurate estimation of the attitude, which will provide Inertial Navigation System (INS) of small Unmanned Aerial Vehicles (UAV) with valid redundant information.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.