TP
Tristan Perez
cs.ROcs.CVcs.SYeess.SYagricultural roboticsdeep convolutional neural networkFruitharvesting robotshorticulturemath.OC
On Valency
published · living versionsW_br6v5rp9·v1 · currentpublished
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management
with David Hall, Feras Dayoub, Chris McCool
1 version
W_h8965fen·v1published
W_t6j7akgg·v1published
Preprints & journals
13 papers in the corpus · 2016–2020A Heteroscedastic Likelihood Model for Two-frame Optical Flow2010.06871v2 · Timothy Farnworth, Christopher Renton, Reuben Strydom et al.2020 · 3 citationsarXiv
Online Inverse Optimal Control for Control-Constrained Discrete-Time Systems on Finite and Infinite Horizons2005.06153v1 · Timothy L. Molloy, Jason J. Ford, Tristan Perez2020 · 48 citationsarXiv
An Optimal Bearing-Only-Information Strategy for Unmanned Aircraft Collision Avoidance2004.09744v1 · Timothy L. Molloy, Tristan Perez, Brendan P. Williams2020 · 8 citationsarXiv
A Sweet Pepper Harvesting Robot for Protected Cropping Environments1810.11920v1 · Chris Lehnert, Chris McCool, Inkyu Sa et al.2018 · 9 citationsarXiv
Tracking Control of Marine Craft in the port-Hamiltonian Framework: A Virtual Differential Passivity Approach1803.07938v1 · Rodolfo Reyes-B'aez, Alejandro Donaire, Arjan van der Schaft et al.2018 · 9 citationsarXiv
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management1801.08613v2 · David Hall, Feras Dayoub, Tristan Perez et al.2018 · 23 citationsD. Hall, F. Dayoub, T. Perez, and C. McCool, "A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management," Computers and Electronics in Agriculture, Vol. 148, pp. 107-120, May 2018on Valency
Fruit Quantity and Quality Estimation using a Robotic Vision System1801.05560v1 · M. Halstead, C. McCool, S. Denman et al.2018 · 8 citationsarXiv
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study1709.10275v1 · Chris Lehnert, Chris McCool, Tristan Perez2017 · 2 citationsarXiv
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester1706.06203v1 · Christopher Lehnert, Christopher McCool, Tristan Perez2017 · 1 citationarXiv
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems1706.02023v1 · Chris Lehnert, Andrew English, Chris McCool et al.2017 · 275 citationsIEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 872-879, April 2017. doi: 10.1109/LRA.2017.2655622on Valency
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information1701.08608v1 · Inkyu Sa, Chris Lehnert, Andrew English et al.2017 · 129 citationsarXivon Valency
Strategies for Pre-Emptive Mid-Air Collision Avoidance in Budgerigars.27680488 · Schiffner, Ingo, Perez, Tristan, Srinivasan, Mandyam V2019 · 12 citationsPloS one. 2016;11(9):e0162435
DeepFruits: A Fruit Detection System Using Deep Neural Networks.27527168 · Sa, Inkyu, Ge, Zongyuan, Dayoub, Feras et al.2018 · 1,111 citationsSensors (Basel, Switzerland). 2016;16(8)
Career total: 194 works. 13 are in this corpus.
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