Julie Buquet, Applied Researcher for Imaging and AI at Immervision, presents the “Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft” tutorial at the May 2023 Embedded Vision Summit.
Unmanned aircraft systems (UASs) need to perform accurate autonomous navigation using sense-and-avoid algorithms under varying illumination conditions. This requires robust algorithms able to perform consistently, even when image quality is poor.
In this presentation, Buquet shares the results of Immervision’s research on the impact of noise and blur on corner detection algorithms and CNN-based 2D object detectors used for drone navigation. Specifically, she shows how to fine-tune these algorithms to make them effective in extreme low light (0.5 lux) and on images with high levels of noise or blur. She also highlights the main benefits of using such computer vision methods for drone navigation.
See here for a PDF of the slides.
