Vision‐based Obstacle Detection and Navigation for an Agricultural Robot-Reference-Cited by-同舟云学术

Vision‐based Obstacle Detection and Navigation for an Agricultural Robot

Published:2016-01-13 Issue:8 Volume:33 Page:1107-1130
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J. Field Robotics

Author:

Ball David¹²,Upcroft Ben¹²,Wyeth Gordon¹²,Corke Peter¹²,English Andrew¹,Ross Patrick¹,Patten Tim³,Fitch Robert³,Sukkarieh Salah³,Bate Andrew⁴

Affiliation:

1. School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane QLD 4001 Australia

2. ARC Centre of Excellence for Robotic Vision Australia

3. Australian Centre for Field Robotics The University of Sydney Sydney NSW 2006 Australia

4. SwarmFarm Robotics Queensland Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21644

Reference65 articles.

1. Learning and prediction of slip from visual information

2. A vision based row-following system for agricultural field machinery

3. A vision based row detection system for sugar beet

4. Ball D. Ross P. English A. Patten T. Upcroft B. Fitch R. Sukkarieh S. Wyeth G. &Corke P.(2013). Robotics for sustainable broad‐acre agriculture. Paper presented at the 9th Conference on Field and Service Robotics Brisbane Australia.

5. Automatic tractor guidance using carrier-phase differential GPS

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