cnqiangfu.github.io

🐷 QFU Test.

     

Biography

I obtained the Ph.D. with the National Engineering Laboratory for Robot Visual Perception and Control Technology at Hunan University, directed by Prof. Hongshan Yu .

Prior to beginning the Ph.D program, I obtained my B.S. degree in Electronic Information Science and Technology from Hunan Normal University in 2015. Subsequently, I was granted admission to pursue my postgraduate studies at Hunan University without the need for entrance examinations, based on a recommendation. From 2019 to 2020, I was a Visiting Scholar in the Robotic and Vision Group, Department of Computing Science at University of Alberta (Canada), under the supervision of Prof. Hong Zhang (IEEE and CAE Fellow).

Research Interests

My research interests focus on visual SLAM and computer vision.

Websites

• Google Schoolar🌟
• Github🌟

Selected Papers

• Fast ORB-SLAM Without Keypoint Descriptors, Transaction on Image Processing, 2022. [Paper][Video]
• PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features, arXiv, 2022, [Paper][Code][Video]
• A Robust RGB-D SLAM System With Points and Lines for Low Texture Indoor Environments, IEEE Sensor Journal, 2020, [Paper]
• Robust Robot Pose Estimation for Challenging Scenes With an RGB-D Camera, IEEE Sensor Journal, 2019, [Paper]
• NDNet: Narrow while deep network for real-time semantic segmentation, IEEE Transactions on Intelligent Transportation Systems, 2020, [Paper]
• Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category-Level 6D Pose Estimation, IEEE Transactions on Industrial Informatics, 2023, [Paper]
• Accurate edge-preserving stereo matching by enhancing anisotropy, Signal Processing: Image Communication, 2023, [Paper]

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