Shaozu Cao
PhD Candidate
Shenzhen, Guangdong Province, China
Summary
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RockstarShaozu Cao is a PhD candidate in UAV research with nine years of engineering experience focused on perception and state estimation for aerial robotics. Based in Shenzhen and active in HKUST's Aerial Robotics group, he blends back-end development and DevOps expertise to make research code production-ready. His open-source work on prominent repos like A-LOAM and VINS-Fusion shows practical skills integrating LiDAR, camera, and KITTI dataset pipelines and adding Docker-based build and deployment workflows. He has contributed to core estimator functionality, fixed initialization issues, and improved code robustness—signals of someone comfortable across algorithms, data handling, and infrastructure. Notably, his contributions include a KITTI helper for synchronized image/point-cloud processing, reflecting an attention to real-world dataset integration that speeds experimentation.
9 years of coding experience
English, Chinese, Chinese
Github Skills (21)
docker10
c-language10
bash10
dockers10
lidar10
cprogramming-language10
slam10
ros10
build-automation9
state-space9
estimate9
computer-engineering9
parameter-estimation9
computer-vision8
eigen8
Programming languages (2)
Github contributions (5)
HKUST-Aerial-Robotics/VINS-Fusion
Mar 2019 - Jul 2021
An optimization-based multi-sensor state estimator
Role in this project:
DevOps Engineer & Software Engineer
DevOps Engineer & Software EngineerContributions:7 commits, 7 pushes, 16 comments in 2 years 4 months
Contributions summary:Shaozu primarily contributed to the repository by setting up and configuring a Docker environment for the VINS-Fusion project, as indicated by the "add docker" and "update docker" commits. They defined build and run scripts within the Docker setup. Furthermore, the user integrated the tracked image functionality within the estimator and fixed initialization issues, implying involvement in core algorithm and application logic.
multi-sensorstereopybulletoptimizationsensor
HKUST-Aerial-Robotics/VINS-Mono
Jan 2018 - Mar 2019
A Robust and Versatile Monocular Visual-Inertial State Estimator
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:9 commits, 2 PRs, 15 pushes in 1 year 2 months
Contributions summary:Shaozu primarily addressed warnings and made minor modifications to the `vins-mono` codebase. They modified files related to the estimator and utility functions, likely to improve code quality or address specific issues. The user also added and updated Docker-related files, demonstrating involvement in infrastructure or deployment aspects. Their work contributes to the overall robustness and maintainability of the project.
stereovisual-inertialintrinsicsstate-estimationinertial
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