Banglei Guan

About

Dr. Banglei Guan is a leading researcher in computer vision and robotics, specializing in sensor fusion, 3D reconstruction, and pose estimation. His work addresses fundamental challenges in autonomous navigation and industrial automation. Dr. Guan’s most impactful contribution is his 2018 paper on minimal solutions for rotational alignment of IMU-camera systems using homography constraints (17 citations), which provides efficient algorithms for calibrating visual-inertial setups—critical for drones and mobile robots. He further advanced robotic assembly with a 2020 study on reconstruction-based 6D pose estimation (4 citations), enabling robust object localization in complex industrial environments. For monocular SLAM, Dr. Guan proposed a planar homography-based initialization method (2019, 3 citations) that overcomes the difficulty of bootstrapping single-camera systems. His recent work (2023) extends pose estimation to generalized central and non-central camera models, broadening applicability. With a focus on practical, real-time solutions, Dr. Guan’s research bridges theoretical geometry and applied robotics, earning recognition for its impact on autonomous navigation and manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Minimal solutions for the rotational alignment of IMU-camera systems using homography constraints

   17 citations · 2018
2. 2
   Reconstruction-based 6D pose estimation for robotic assembly

   4 citations · 2020
3. 3
   Planar Homography based Monocular SLAM Initialization Method

   3 citations · 2019
4. 4
   Solving Generalized Pose Problem of Central and Non-central Cameras

   1 citations · 2023

Key Collaborators

Contact & Links