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About

Sebastian Houben is a leading researcher in autonomous micro aerial vehicles (MAVs), specializing in visual-inertial SLAM, multi-robot coordination, and industrial inspection. His work has fundamentally advanced how lightweight drones perceive and navigate complex environments, from high-speed outdoor maneuvers to confined indoor spaces. Houben’s most cited paper, “Efficient multi-camera visual-inertial SLAM for micro aerial vehicles” (40 citations), pioneered robust state estimation for agile flight, addressing the unique challenges of rapid motion and limited payload. He further refined real-time mapping with “Feature-based visual odometry prior for real-time semi-dense stereo SLAM” (35 citations), enabling dense reconstruction without sacrificing speed. Beyond theory, Houben demonstrated exceptional systems engineering in high-stakes competitions: his team’s collaborative object picking and delivery system (25 citations) and fast autonomous landing on moving targets (23 citations) at MBZIRC showcased coordinated MAV teams under real-world conditions. His applied work includes ChimneySpector (19 citations), an autonomous MAV for indoor chimney inspection that replaces dangerous human entry with 3D laser localization and textured surface reconstruction. With over 140 total citations across these key contributions, Houben bridges cutting-edge perception algorithms and practical deployment, making him a pivotal figure in autonomous drone technology.