Dr David Hall
This person does not currently hold a position at QUT.
Personal details
Qualifications
- PhD (Queensland University of Technology)
- Bachelor of Engineering (Infomechatronics) (Queensland University of Technology)
Teaching
2019 ENB439 - Guest Lecture 23-05-2019
Publications
- Hall, D., Dayoub, F., Perez, T. & McCool, C. (2018). A rapidly deployable classification system using visual data for the application of precision weed management. Computers and Electronics in Agriculture, 148, 107–120. https://eprints.qut.edu.au/117663
- Perez, T., McCool, C., Hall, D. & Dayoub, F. (2017). A transplantable system for weed classification by agricultural robotics. Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), 5174–5179. https://eprints.qut.edu.au/109462
- Hall, D., Dayoub, F., Kulk, J. & McCool, C. (2017). Towards unsupervised weed scouting for agricultural robotics. Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), 5223–5230. https://eprints.qut.edu.au/103173
- Hall, D., McCool, C., Dayoub, F., Suenderhauf, N. & Upcroft, B. (2015). Evaluation of features for leaf classification in challenging conditions. Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision (WACV 2015), 797–804. https://eprints.qut.edu.au/78723
QUT ePrints
For more publications by David, explore their research in QUT ePrints (our digital repository).