Avatar Image

Dr Ben Upcroft

Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Aerospace Systems

Personal

Name
Dr Ben Upcroft
Position(s)
Senior Lecturer in Electrical Engineering
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Aerospace Systems
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone
+61 7 3138 7158
Email
Location
View location details (QUT staff and student access only)
Qualifications

Phd (Physics) (University of Queensland)

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

I am interested in computer vision applied to mobile robots. I focus on visual egomotion and navigation enabling robots to understand where they are in the world and make decisions to get somewhere in that world. 

Topics that I am actively involved in include:

  • Visual egomotion for mobile robotic platforms
  • Visual segmentation for mobile robotic platforms
  • Embedded real time visual pose estimation
  • Multiview stereo vision
  • Unmanned Aerial Vehicles
This work falls under the research area of the CyPhy lab which focuses on robotics in general.
Bio
I joined QUT as a Senior Lecturer in Robotics in 2011. I previously worked at the Australian Centre for Field Robotics, University of Sydney and with CRCMining at the University of Queensland. 
For more information, please see my homepage. 

 

This information has been contributed by Dr Ben Upcroft.

Experience

Experience

I have spent the last 7 years working on perception systems for field robotics. Robots that I have had experience with include commercial passenger vehicles, all-terrain vehicles, haul trucks, and unmanned aerial vehicles. For more information, please see my webpage on robots

Some of the projects I have been involved in are listed below:

  • Robotic networks (UAVs and ground vehicles) for large scale mapping
  • Urban DARPA Grand Challenge
  • Haul truck obstacle detection and mapping
  • Sparse landmark SLAM for mining excavators
  • UAV visual egomotion
I have more recently focussed on visual egomotion for mobile robotics with topics including
  • Visual egomotion for robotic platforms
  • Multi-view stereo
  • Image-based 3D reconstruction
  • Image segmentation

 

This information has been contributed by Dr Ben Upcroft.

Publications

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