SENSING - Robust Vision
Seeing Robustly: Research in Autonomous Vehicles, Construction, the Dark and more…
Speakers: Niko Suenderhauf, James Mount, Daniel Richards, Fan Zeng, Sean McMahon
The Robust Vision program is developing robotic vision algorithms and novel vision hardware to enable autonomous systems to see and act in all viewing conditions. The program is developing a suite of algorithms that enable robots to perceive their environments and consequently act purposefully under the incredible range of environmental conditions possible, including low light and rain, and is leveraging and developing innovative sensing systems to facilitate robot operation under all viewing conditions including novel camera filters and low light cameras. This talk will review some of the key research areas to date, progress and outcomes and discuss how research is being translated into funded industry applications.
- Overview: Michael Milford (pre-recorded)
- Improving Localization with Semantics: Niko Suenderhauf (representing PhD researcher Sourav Garg)
- Low Latency High Accuracy Positioning Systems: PhD researcher James Mount
- Low Light Sensing: PhD researcher Daniel Richards
- Positioning for Autonomous Mining Vehicles: Affiliated Postdoctoral researcher Fan Zeng
- Robust Hazard Detection: PhD researcher Sean McMahon