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David Hall

David Hall

David became a Research Fellow with the Centre in April 2108 after submitting his PhD in January 2018. He performed his PhD research at the Queensland University of Technology (QUT) with a focus on autonomous weed recognition systems for agricultural robotics working under Dr Feras Dayoub, Dr Chris McCool and Prof. Tristan Perez.

David’s main research focuses are on making systems which are adaptable to real-world variations and conditions. He is pleased to be working on the Centre project Robotic Vision Evaluation & Benchmarking which will address issues such as adaptable vision and continuous learning.

Further information about David and his publications can be found at his personal website

 

Australian Centre for Robotic Vision
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