Date of Award
2020-01-01
Degree Name
Master of Science
Department
Computer Engineering
Advisor(s)
John Moya
Abstract
An analogy can be made between the sensing that occurs in simple robots and drones and that in insects and crustaceans, especially in basic navigation requirements. Thus, an approach in robots/drones based on compound eye vision could be useful. In this research, several image processing algorithms were used to detect and track moving objects starting with images upon which a grid (compound eye image) was superimposed, including contours detection, the second moments of those contours along with the grid applied to the original image, and Fourier Transforms and inverse Fourier Transforms. The latter also provide information about scene or camera orientation and object proximity to the camera.
Language
en
Provenance
Received from ProQuest
Copyright Date
2020-05
File Size
33 pages
File Format
application/pdf
Rights Holder
Michael Mikhael
Recommended Citation
Mikhael, Michael, "Compound Vision Approach For Autonomous Vehicles Navigation" (2020). Open Access Theses & Dissertations. 3007.
https://scholarworks.utep.edu/open_etd/3007