[Cite as http://purl.org/au-research/grants/arc/FL130100102]
Researchers Prof Ian Reid;
Brief description The aim of the project is to develop robust computer vision systems that can operate over a wide area and over long periods. This is a major challenge because the geometry and appearance of an environment can change over time, and long-term operation requires robustness to this change. The outcome will be a system that can capture an understanding of a wide area in real time, through building a geometric map endowed with semantic descriptions, and which uses machine learning to continuously improve performance. The significance will lie in turning an inexpensive camera into a high-level sensor of the world, ushering in cognitive robotics and autonomous systems.
Funding Amount $3,179,946
Funding Scheme Australian Laureate Fellowships