Compound Vision Approach for Autonomous Vehicles Navigation
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.
Subject Area
Artificial intelligence|Computer Engineering
Recommended Citation
Mikhael, Michael Micheal, "Compound Vision Approach for Autonomous Vehicles Navigation" (2020). ETD Collection for University of Texas, El Paso. AAI28001929.
https://scholarworks.utep.edu/dissertations/AAI28001929