266 citations · 431 across the 7 of their papers we have counts for
8 papers
A Heteroscedastic Likelihood Model for Two-frame Optical Flow
Timothy Farnworth, Christopher Renton, Reuben Strydom +2
Machine vision is an important sensing technology used in mobile robotic systems. Advancing the autonomy of such systems requires accurate characterisation of sensor uncertainty. V…
A Sweet Pepper Harvesting Robot for Protected Cropping Environments
Chris Lehnert, Chris McCool, Inkyu Sa +1
Using robots to harvest sweet peppers in protected cropping environments has remained unsolved despite considerable effort by the research community over several decades. In this p…
Fruit Quantity and Quality Estimation using a Robotic Vision System
M. Halstead, C. McCool, S. Denman +2
Accurate localisation of crop remains highly challenging in unstructured environments such as farms. Many of the developed systems still rely on the use of hand selected features f…
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
David Hall, Feras Dayoub, Tristan Perez +1
In this work we demonstrate a rapidly deployable weed classification system that uses visual data to enable autonomous precision weeding without making prior assumptions about whic…
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study
Chris Lehnert, Chris McCool, Tristan Perez
Robotic harvesting of crops has the potential to disrupt current agricultural practices. A key element to enabling robotic harvesting is to safely remove the crop from the plant wh…
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester
Christopher Lehnert, Christopher McCool, Tristan Perez
In this paper, we present the lessons learnt during the development of a new robotic harvester (Harvey) that can autonomously harvest sweet pepper (capsicum) in protected cropping…
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems
Chris Lehnert, Andrew English, Chris McCool +2
In this letter, we present a new robotic harvester (Harvey) that can autonomously harvest sweet pepper in protected cropping environments. Our approach combines effective vision al…
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information
Inkyu Sa, Chris Lehnert, Andrew English +4
This paper presents a 3D visual detection method for the challenging task of detecting peduncles of sweet peppers (Capsicum annuum) in the field. Cutting the peduncle cleanly is on…