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About

David W. Murray is a pioneering computer vision and robotics researcher whose work has fundamentally shaped how machines perceive and navigate their environments. Based at the University of Oxford, Murray has made landmark contributions to simultaneous localisation and mapping (SLAM), active vision, and augmented reality systems spanning more than three decades. Murray's most celebrated contribution is the 2007 paper introducing Parallel Tracking and Mapping (PTAM), which revolutionised real-time camera pose estimation by splitting tracking and mapping into concurrent processes — a conceptual breakthrough that accumulated over 4,200 citations and directly influenced the development of modern augmented reality and autonomous navigation systems. His earlier book, *Experiments in the Machine Interpretation of Visual Motion* (1990), established foundational thinking in how machines recover 3D information from moving imagery. Beyond PTAM, Murray has consistently pushed the boundaries of wearable robotics and active vision, developing systems that decouple camera movement from a user's body and enable real-time localisation using single cameras. His work on semantic scene reconstruction further extended these ideas into large-scale 3D understanding. Across his career, Murray has demonstrated a rare ability to bridge theoretical elegance with practical, deployable systems that have inspired generations of researchers in robotics, computer vision, and augmented reality.