# Huiwen (Winnie) Xu

> Staff Software Engineer, Perception.

Location: Sunnyvale, California, United States
Profile: https://flows.cv/huiwen

Skills:
Programming language: C++/C, Python, Javascript, Matlab, HTML/CSS, Julia, shell, LaTex
Frameworks: Git, OpenCV, Pytorch, Boost, PCL, Linux, ROS, React, Redux, Node.js, Express, MongoDB, JQuery, Bootstrap
Software: Simulink, Abaqus, Solidworks, CAD, CATIA, DELMIA, Photoshop

## Work Experience
### Staff Software Engineer, Perception @ Black Sesame Technologies Inc
Jan 2020 – Present | Santa Clara County, California, United States

### Research Assistant @ University of Michigan
Jan 2019 – Jan 2020 | Ann  Arbor, MI, US

### Software Engineer Intern - SLAM @ MoonX.ai
Jan 2019 – Jan 2019 | Shenzhen, Guangdong, China
(c++) Developed a 3D HD map creation algorithm based on graph-based SLAM algorithm (Simultaneous Localization and Mapping with graph optimization).

• Designed a submap forming method to simplify the calculation unit from point-cloud to submap. Designed an adaptive trigger based on LiDar covariance for the execution of submap forming. Increased the map creation speed by 20%.
• Implemented Boost RTree algorithm to find loop-closure. Improved the RMSE by 18% compared to KdTree algorithm.
• Designed an outlier remover to check the global consistency of every loop-closure finding based on chi-square test.
• Utilized Google Protocol Buffer to serialize point-cloud pose related data. Speed up the data processing.

### Research Assistant @ University of Michigan
Jan 2019 – Jan 2019 | Ann Arbor, MI
(MATLAB) Presented a VO method (Visual Odometry, algorithms estimating the robot state with vision information) based on direct intensity from RGB-D image.

• Implemented Gauss-Newton algorithm to solve the optimal transformation between frames by minimizing the intensity residual from all pixels. Increased the reliability of registration when camera distort/defocus.
• Adopted a sliding window optimization to process frames in batch. Realized a semi-global pose synchronization.
• Developed a coarse-to-fine data scheme to reduce the computation load in large camera motions (x2 speed up).


## Education
### Master's degree in Robotics
University of Michigan
Jan 2017 – Jan 2019

### Master's degree in Naval Architecture and Marine Engineering
University of Michigan
Jan 2017 – Jan 2019

### Bachelor's degree in Naval Architecture and Marine Engineering
Wuhan University of Technology
Jan 2013 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/huiwenxuw
- GitHub: https://github.com/winniex0412

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Source: https://flows.cv/huiwen
JSON Resume: https://flows.cv/huiwen/resume.json
Last updated: 2026-03-23