Yi Zhou
Full Professor at Hunan University
Hunan, China
Summary
👤
Senior🎓
Top SchoolYi Zhou is a Full Professor and Ph.D. supervisor at Hunan University who leads the Neuromorphic Automation and Intelligence Lab, developing perception, navigation, and control solutions for robots using neuromorphic sensing across mUAVs, autonomous driving, VR/AR, space applications, and industrial automation. With a PhD in Computer Vision and Robotics and over a decade of experience spanning academia and industry, he has led event-based perception research at HKUST-DJI and practical SLAM and multi-sensor fusion systems for autonomous vehicles at Motovis. His work bridges foundational research and real-world deployment, focusing on robust long-term localization and neuromorphic approaches that reduce latency and power for embedded platforms. Notably, he combines rigorous mathematical training (B.Math) with hands-on engineering, positioning him to translate cutting-edge sensory algorithms into fielded robotic systems.
10 years of coding experience
3 years of employment as a software developer
Australian National UniversityVisiting PhD Student, Visiting PhD Student at University of ZurichB. Eng, Mechanical Engineering and Automation, First Class Graduate., B. Eng, Mechanical Engineering and Automation, First Class Graduate. at Beihang University
English, Chinese
Github Skills (43)
occupancy-grid-map10
temporal10
depth-camera10
visual-odometry10
slam-algorithms10
stereo10
markdown9
odometry9
graph9
segmentation9
jekyll9
optical-flow8
calibration8
imu8
camera8
Programming languages (4)
Github contributions (5)
HKUST-Aerial-Robotics/ESVO
Jul 2020 - Aug 2021
This repository maintains the implementation of "Event-based Stereo Visual Odometry".
Contributions:14 commits, 1 PR, 12 pushes in 1 year
visual-odometrystereoodometryslam-algorithmsoccupancy-grid-map
HKUST-Aerial-Robotics/EMSGC
Aug 2021 - Oct 2022
Contributions:24 commits, 2 pushes, 2 comments in 1 year 2 months
pytorchsegmentationmotiontemporalgraph-cuts
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