Open AccessVisually-Aided Localisation for Autonomous Agricultural Vehicles
Author(s) -
Andrew English
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.5204/thesis.eprints.112916
Subject(s) - robot , sensor fusion , computer science , cropping , artificial intelligence , computer vision , agriculture , human–computer interaction , engineering , geography , archaeology
This thesis presents an approach to visually-aided navigation of agricultural robots in cropping fields. In doing so it developed several novel visually crop-row tracking methods, along with sensor fusion methods enable practical, reliable and cost effective localisation systems suitable for navigating future fleets of agricultural robots
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