Image credit: 1 Year, 1000km: The Oxford RobotCar Datase (courtesy QUT).
Original Published Date: 
Friday, June 8, 2018

QUT researchers based at the Australian Centre of Excellence for Robotic Vision have developed a new way for robots to see the world from a more human perspective, which has the potential to improve how technology, such as driverless cars and industrial and mobile robots, operates and interacts with people.

In what is believed to be a world first, PhD student Sourav Garg, Dr Niko Suenderhauf and Professor Michael Milford, an ARC Future Fellow from QUT’s Science and Engineering Faculty, have used visual semantics to enable high-performance place recognition from opposing viewpoints. This allows robots and autonomous vehicles to better recognise a place when re-entering it from the opposite direction, or when lighting conditions have changed.

Photo credit: 

Image credit: 1 Year, 1000km: The Oxford RobotCar Datase (courtesy QUT).