Papers
3
Total Citations
69
H-Index
3
About
Haibo Sun is a pioneering researcher at the intersection of robotic vision and wearable electronics, whose work bridges the gap between 3D perception and flexible sensing technologies. His most impactful contribution is **LinK3D**, a novel linear keypoints representation for 3D LiDAR point clouds, which addresses a fundamental challenge in robotic vision: reliable feature extraction and matching in 3D space. While 2D feature matching has long been successful, 3D methods often struggle with robustness and efficiency. LinK3D provides a streamlined, linear approach that enhances object detection, recognition, and registration tasks—critical for autonomous navigation and robotics. This work has garnered **over 66 citations** across its 2022 and 2024 publications, underscoring its growing influence in the field. More recently, Sun has ventured into wearable technology, co-authoring a 2025 study on **flexible self-powered ionic gel pressure sensors** made from polyacrylonitrile. These sensors enable real-time monitoring of human motion and physiological signals, demonstrating a versatile shift from environmental perception to human-centric applications. By combining algorithmic innovation with materials science, Sun exemplifies a multidisciplinary approach, advancing both how machines see the world and how they interact with the human body.
Research Focus
Key Achievements
Top Papers
- 1LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud59 citations · 2024
- 2LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud7 citations · 2022
- 3