Hannes Plank

Papers

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About

Hannes Plank is a researcher specializing in depth sensing, indoor positioning, and time-of-flight (ToF) imaging technologies, with a focus on enabling precise location-awareness for modern autonomous and interactive systems. His work sits at the intersection of sensor engineering, computer vision, and applied robotics, addressing the growing demand for reliable localization in environments where GPS is unavailable or insufficient. Plank's most recognized contribution, "High-performance indoor positioning and pose estimation with time-of-flight 3D imaging" (2017, 10 citations), demonstrates how image sensor-based, inside-out tracking systems can achieve the accuracy required for industrial automation, augmented reality, and autonomous robotics. His subsequent work on hybrid sensing approaches for coded modulation ToF cameras (2019, 7 citations) further advances the reliability of depth imaging in simultaneous localization and mapping (SLAM) systems, a critical capability for intelligent mobile platforms. Through these contributions, Plank has helped establish ToF imaging as a practical and high-performing solution for real-world localization challenges. His research is particularly valuable for students and engineers exploring next-generation sensing pipelines in robotics, mixed reality, and smart manufacturing environments.