Abstract
We present a multiple view algorithm for vision based landing of an unmanned aerial vehicle. Our algorithm is based on our results in multiple view geometry which exploit the rank deficiency of the so called multiple view matrix. We show how the use of multiple views significantly improves motion and structure estimation. We compare our algorithm to our previous linear and non-linear two-view algorithms using an actual flight test. Our results show that the vision-based state estimates are accurate to within 7cm in each axis of translation and 4 degrees in each axis of rotation.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
