Visual navigation for sunny summer days and stormy winter nights
This video provides an overview of the SeqSLAM algorithm, a vision-based place recognition algorithm that functions across much greater degrees of perceptual change than most state of the art feature-based techniques.
Automated Environmental Change Monitoring
Michael Milford has just been awarded a grant to conduct some innovative research and pilot trials in Automated Environmental Change Monitoring, in collaboration with expert field roboticist Matthew Dunbabin and leading ecologist Jennifer Firn. We are adapting some of the robotic navigation algorithms (SeqSLAM for example) to automatically align data from multiple surveying passes of an environment that is changing over time. Monitoring of environments and in particular environmental change is a highly topical scientific research area, both internationally and in Australia. This project will develop technology demonstrators for monitoring and quantifying environmental change over time in a range of ecological and environmental scenarios.
Collage of Some Change Alignments so Far
- Strawberry Farm Matches
- Pine Forest Plantation Matches
- O'Reillys Sideways Matching 11 am and 1 pm
- O'Reillys Forward Facing Morning-Midday