Philippe Dandurand

Papers

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About

Philippe Dandurand is a robotics and automation researcher whose work bridges the gap between harsh, unstructured environments and reliable autonomous systems. His primary research areas include large-scale 3D mapping, autonomous inspection robotics, and robust geolocation for outdoor mobile equipment. Dandurand’s most impactful contribution is his pioneering work on large-scale 3D mapping of subarctic forests, where he demonstrated how lidar-based systems can overcome the computational and sensory challenges of boreal environments—a breakthrough with direct applications in forestry, surveillance, and open-pit mining. This work, published in 2021, has garnered 21 citations and established him as a key figure in environmental robotics. He also developed an all-weather autonomous inspection robot for electrical substations, addressing the critical need for periodic inspection of geographically distributed power networks; this paper has earned 15 citations. Additionally, his research on radio propagation models for differential GNSS, based on dense point clouds, tackles the fundamental challenge of maintaining accurate geolocation in signal-degraded outdoor settings. Dandurand’s ability to combine theoretical modeling with practical, field-tested solutions makes his work essential reading for students and researchers interested in deploying autonomous systems in the world’s most demanding environments.