Andrew Davison

Professor Andrew Davison is a Professor of Robot Vision at the Department of Computing, Imperial College London. His research focuses on computer vision, robotics, Simultaneous Localisation and Mapping (SLAM), and augmented reality. He is known for pioneering SLAM with vision, particularly through the MonoSLAM algorithm in 2003, which enabled real-time, drift-free SLAM from a single camera. His current work explores improving the performance of real-time 3D vision in terms of dynamics, scale, detail level, efficiency, and semantic understanding. He leads the Dyson Robotics Laboratory and is co-founder of SLAMcore, an Imperial College spin-out company specializing in applied Spatial AI solutions.

Andrew Davison is a Professor of Robot Vision at the Department of Computing, Imperial College London. His research focuses on computer vision, robotics, and artificial intelligence, with a particular emphasis on simultaneous localization and mapping (SLAM), augmented reality, and real-time 3D reconstruction. His work explores methods for dense surface mapping, visual odometry, and object-level SLAM, contributing to advancements in robotic perception and interactive environments. Davison's research also includes event-based vision, multi-task learning, and semantic mapping using convolutional neural networks, aiming to improve the accuracy and efficiency of vision-based systems in dynamic and complex environments.