Speaker: Fauzy Othman, Heriot-Watt University, Edinburgh
Date: 30 May 2022
Time: 15:00 – 16:00
Venue: Online
Fauzy is a PhD student working with Phil Bartie, Oliver Lemon, and Ben Kenwright. During the weekly SWeL meeting, Fauzy will be giving his first year progression presentation.
Abstract: This project aspires to address gaps in autonomous detection in aerial surveillance on ground objects. There are existing point cloud deep learning techniques, however many are having gaps in accuracy of detection and not developed for objects which are of interest to energy industry surveillance work. Hence the aim is to improve accuracy of object detection by exploring deep learning architecture, focusing on point cloud data manipulation and fusion methods. This Year 1 presentation covers literature review and initial implementation works.