Postdoctoral Research Fellow
Hi, I am David Hall, Postdoctoral Research Fellow at the Queensland University of Technology. This website outlines my current publications and general information about myself as a researcher. My research focuses are on making robotic vision systems applicable for real-world situations and all of the problems which that can entail. My PhD focused on producing a weed classification system for agricultural robotics which can be applied rapidly to any field without needing to assume that we know what species will be present in advance. My current research with the ACRV robotic vision challenge project focuses on how we evaluate vision systems for robotics applications. Ensuring they are robust, probabilistic, and adaptable to changing environments and conditions. It is my hope that in future, robots will be smart enough to implement basic tasks in more open environments, with management and guidance from human operators.
Title: A rapidly deployable classification system using visual data for the application of precision weed management.
Authors: David Hall, Feras Dayoub, Tristan Perez, Chris McCool
Published in: Computers and Electronics in Agriculture, Vol. 148
Manuscript Download Link: COMPAG2018_manuscript.pdf
Official Paper Link: