“Dark“ Visual odometry for drone Navigation

Emesent‘s current system is using Lidar and SLAM technology in a unique plug-and play system that can be mounted onto different robotic platforms.

In order to miniaturise the system while enhancing its reliability and performance, we are looking into other technologies including new and innovative visual odometry systems that will work reliably in dark and challenging environments. This a hard problem that will require advanced research, implementation on real autonomous systems and experimentation in different environments. As a PhD candidate, you will research, implement, and demonstrate advanced visual odometry systems for use on a variety of autonomous platforms, including drones and ground robots such Spot from Boston Dynamics. You will be part of a world class autonomy team with researchers and engineers from Emesent and QUT who are pushing the state of the art in autonomous systems and artificial intelligence.

 Fully funded and top-up scholarships are available with this project.

Chief Investigators