Frank Dellaert is an Associate Professor in the School of Interactive Computing at the Georgia Institute of Technology.
Education
Since his first interest in robotics when he was ten Dellaert has attended the Catholic University of Leuven, in Belgium, from 1984 to 1989 and received an academic engineering degree (Burg Ir) in Electrical Engineering. He attended the Case Western Reserve University from 1993 to 1995 and received a master"s degree in Computer Science and Engineering. In 1995 he began studying at where he worked as a Assistant and received his Doctor of Philosophy degree in Computer Science in 2001.
In August of that same year, he joined the faculty of Georgia Institute of Technology.
Career
He is also affiliated with the RIMGT center and is well known for contributions to Robotics and Computer Vision. His methodologies for estimating and tracking robotic movements have become a standard and popular tool in mobile robotics. Since joining Georgia Technical, he has explored probabilistic model-based reasoning, paired with randomized approximation methods in advanced sequential Monde Carlo methods, Spatio-Temporal Reconstruction from images, and Simultaneous Location and Mapping.
While at Technical, he has applied functional programming to robotics research and education, aiming to educate students about how functional languages embody many of the advancements in computer science and how well-suited it can be in that field
Dellaert"s research is also being used in such projects as SWAN, augmented reality research, and 4D Cities. SWAN (System for Wearable Audio Navigation) is a wearable computer system that takes in details about the web and relays certain signals to the user, aimed at assisting the blind or others during low-visibility situations.
Dellaert is researching ways to make its awareness system more exact and efficient. The 4D Cities project, developed by Dellaert and Grant Schindler with help from Sing Bing Kang of Microsoft, provides a way to look at a 3D model of a city over time.
After looking at different images of a city from different points in time, the program is able to build a 3D model of the city for those times.
