Yukun Xia
SLAM Algorithm Engineer at TARS
California, United States
Summary
👤
Senior🎓
Top SchoolYukun Xia is a SLAM algorithm engineer with eight years of experience applying multi-sensor perception and mapping to real-world robotic systems across autonomous vehicle and localization startups. Trained at Harvard and CMU's Robotic Systems Development program, he has driven Visual Place Recognition, loop closure, and environment reconstruction work at Zoox and now leads SLAM efforts at TARS. His background includes hands-on stereo visual odometry implementation and system-level error reduction at DeepMap, plus teaching experience in engineering fundamentals, reflecting a blend of practical coding and rigorous academic grounding. Based in California, he thrives on translating cutting-edge research into robust production systems and often focuses on making perception modules resilient to real-world sensor noise and long-term deployment challenges.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Engineering Science, Master of Science - MS Engineering Science at Harvard UniversityBachelor of Engineering - BE Applied Mechanics, Bachelor of Engineering - BE Applied Mechanics at Xi'an Jiaotong UniversityMaster’s Degree Robotic Systems Development , Master’s Degree Robotic Systems Development at Carnegie Mellon University School of Computer Science
Stackoverflow
65reputation
2kreached
2answers
6questions
Github Skills (140)
opencv10
image-processing10
deep-learning10
tflite10
yolov510
onnx10
object-detection10
computer-vision10
lidar10
point-cloud10
pcl10
pytorch10
coreml10
ieee10
robot10
Programming languages (11)
Github contributions (5)
Cola-Robotics/cola-object-detection
Nov 2021 - Apr 2022
Deployment of YOLOv5 on Jetson Xavier AGX via TensoRT
Contributions:5 commits, 2 PRs, 3 pushes in 4 months
agx-xaviertensorflowjetson-xavierobject-detectiondarknet
YukunXia/SuperPoint-Stereo-Visual-Odometry
Oct 2021 - Dec 2021
Contributions:52 commits, 2 pushes, 5 comments in 1 month
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