Heran Fu

Beijing Technology and Business University

Papers

Total Citations

H-Index

About

Heran Fu is a researcher in robotics and computer vision, with a focus on visual perception and motion estimation for autonomous systems. Fu’s most cited work, "Visual Feature Extraction and Tracking Method Based on Corner Flow Detection" (2024, 14 citations), addresses a critical challenge in robotic navigation: robust front-end feature tracking. By developing a method that extracts and matches corner features across consecutive image frames, Fu enables more accurate estimation of a robot’s motion from visual data alone. This contribution is foundational for simultaneous localization and mapping (SLAM) systems, where reliable feature tracking directly impacts performance in dynamic or unstructured environments. Fu’s research bridges the gap between low-level image processing and high-level robotic autonomy, offering practical solutions for real-time visual odometry. With an emerging citation footprint, Fu is establishing a reputation for advancing the reliability of vision-based navigation—a key enabler for applications ranging from autonomous drones to mobile robots.