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

3
H-Index
3
Papers
69
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
59 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Shanghai Institute of Microsystem and Information Technology, Tianjin Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago