Zhengming Zhang

自动驾驶感知算法工程师 at ZEEKR极氪

Shanghai, Shanghai, China
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Summary

👤
Senior
🎓
Top School
Zhengming Zhang is an autonomous driving perception algorithm engineer with eight years of experience, currently leading BEV perception development at Zeekr. He has a proven track record deploying parking slot detection and road segmentation pipelines on embedded platforms (including TDA4 and Huawei MDC) and integrating perception with sensor fusion and control systems. Previously at SenseTime he combined hands-on algorithm development with AI education outreach—mentoring students to international competition wins and contributing to Shanghai AI textbooks and challenge judging. Technically fluent in deep learning, C++, Python and ROS, he focuses on production-ready perception that meets automotive constraints. Outside work he pursues high-performance sports and underwater photography—an AOW scuba diver and national-level speed skater—bringing disciplined, field-tested problem solving to engineering challenges.
code8 years of coding experience
book硕士, 控制工程, 硕士, 控制工程 at 华东理工大学
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Github Skills (37)

glip10
pytorch10
benchmark10
toolbox10
openmmlab10
mask-rcnn10
instance-segmentation10
vision-transformer10
retinanet10
swin-transformer10
object-detection10
faster-rcnn10
transformer10
simulator9
deep-learning9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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zhengmingzhang/VAE_face

Apr 2020 - May 2020

Use VAE to generate face image
Contributions:21 commits, 14 pushes, 1 branch in 21 days
face-recognitioncomputer-visionface-detectionvaeface
Contributions:10 commits, 9 pushes, 1 branch in 6 months
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