Personal details

Name
Dr David Hall
Position(s)
Postdoctoral Research Fellow
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

PhD (Queensland University of Technology), Bachelor of Engineering (Infomechatronics) (Queensland University of Technology)

Biography

Dr David Hall is a research fellow at QUT whose long-term goal is to see robots able to cope with the unpredictable real world.

He began this journey with his PhD on adaptable systems for autonomous weed species recognition as a part of the strategic investment in farm robotics (SIFR) team. Since April 2018 he has worked as part of the robotic vision challenge group within the Australian Centre for Robotic Vision (ACRV) and QUT Centre for Robotics designing challenges, benchmarks, and evaluation measures that assist emerging areas of robotic vision research.

As a part of the robotic vision challenge group, he has assisted in:

  • Defining the field of probabilistic object detection (PrOD)
  • Creating the probability-based detection quality (PDQ) evaluation measure
  • Developing a PrOD robotic vision challenge
  • Developing a scene understanding robotic vision challenge

Now that he has spent some time developing robotic vision challenges, he looks forward to solving these problems and giving the world robust and adaptable robotic vision systems.

Further information about David’s past work and publications can be found at his personal website.

This information has been contributed by Dr David Hall.

Teaching

2019

ENB439 РGuest Lecture  23-05-2019

This information has been contributed by Dr David Hall.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.