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SLAM, Visual-Inertial Odometry, Multi-Sensor Fusion @ Segway Robotics
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Beihang University (BUAA )
Data Scientist
June 25, 2026 – Present
CudaDwa
June 13, 2020 – June 14, 2020
Toy code for local path planning algorithm DWA(Dynamic Window Approach) in CUDA implementation.
View ProjectJPL_SE3_Pose
October 25, 2018 – October 25, 2018
SE3 pose lib uses JPL quaternion representing rotation. Headers only.
View Projectokvis_depth_mesh
September 19, 2018 – October 15, 2021
okvis_depth_mesh — GitHub repository
View Projectmarginalization
March 25, 2018 – June 9, 2023
Sample code for marginalization of SLAM, Visual-Inertial Odometry.
View ProjectPoseSpline
January 29, 2018 – December 29, 2022
A project to reproduce the method from " Continuous-Time Estimation of attitude using B-splines on Lie groups "
View ProjectACG-localizer
October 12, 2017 – November 20, 2019
mirrored from http://www.graphics.rwth-aachen.de/software/image-localization . Make it run!
View ProjectIROS2017_paper
September 29, 2017 – August 27, 2018
Depth Enhanced Visual-Inertial Odometry Based on Multi-State Constraint Kalman Filter
View ProjectCultural Fit Analysis
The candidate's projects are highly focused on robotics, computer vision, and low-level systems programming (C++, CMake, CUDA). While these are technically demanding fields, the diversity of projects outside this niche is limited. The current role as a Data Scientist aligns with the target role, but the project history leans heavily towards embedded/robotics engineering rather than broader data science applications. This narrow focus might indicate a specific cultural fit for highly specialized R&D teams but less so for general data science roles requiring diverse domain knowledge.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond project descriptions. The candidate's projects suggest a strong focus on technical implementation and problem-solving in specialized domains.