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About

Ted Camus is a pioneering researcher in real-time computer vision for mobile robotics, with a primary focus on optical flow-based navigation and collision avoidance. His most influential work, "Real-time single-workstation obstacle avoidance using only wide-field flow divergence" (1996, 74 citations), introduced a groundbreaking system that enabled a robot to wander autonomously for up to 26 minutes without collision using only optical flow divergence for both steering and obstacle detection—all on a single ordinary workstation. Camus further advanced the field with his development of "Real-Time Quantized Optical Flow" (1997, 70 citations), a robust method that overcame traditional computational bottlenecks by performing correlation searches over time rather than space, achieving linear complexity. His 1995 paper on "Calculating time-to-contact using real-time quantized optical flow" (55 citations) demonstrated practical applications for collision timing in real-world conditions. Collectively, Camus’s work has accumulated over 228 citations, establishing him as a key contributor to making real-time, robust optical flow feasible for mobile robot navigation in uncontrolled environments.