# Zhaohan Lu

> Software Engineer at Weride Corp.

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

## Work Experience
### Software Engineer @ WeRide.ai
Jan 2021 – Present | San Francisco Bay Area
- Designed and implemented a time-sequenced Bird’s-Eye-View (BEV) model for multi-task perception, enhancing object detection, drivable space segmentation, velocity estimation, and trajectory prediction, achieving a >10% AP improvement in near-range detection.
- Developed a transformer-based post-fusion model to refine multi-sensor (LiDAR, camera, radar) detection results, enabling obstacle-level refinement and outputting motion states.
- Applied generative models (VAE, conditional diffusion models) for high-precision lane detection and VQ-VAE for efficient HD map data compression.
- Optimized backbone architectures including ResNet and Transformers, implemented custom variants with tailored hyperparameters to maximize performance.
- Deployed models on embedded systems via ONNX/TensorRT conversion, accelerating inference through quantization and enhancing accuracy via Quantization-Aware Training (QAT).

### Autonomous Driving Intern @ ISUZU TECHNICAL CENTER OF AMERICA, INC.
Jan 2020 – Jan 2021 | Michigan, United States
- Pioneered initiatives for A-star searching path planning and least-square curve fitting for trajectory planning
-  Excelled in maximizing tracking performance by integrating and comparing PID, MPC, LQR controller
- Used YOLO convolutional network and PyTorch based model for pedestrian, vehicle detection, and depth estimation

### Student Researcher @ The University of Hong Kong
Jan 2018 – Jan 2019 | Hong Kong
Topic: Image Reconstruction Using Machine Learning
- Constructed the lens-less camera with only a CMOS image sensor.
- Collected the training images and labels from capturing a LED matrix board.
- Developed the deep learning method based on Keras and trained the images.
- Reconstructed the original images from the blurred images taken by the image sensor.

### Algorithm Engineer @ Horizon Robotics
Jan 2018 – Jan 2019 | Beijing City, China
- Designed and improved the control algorithm of the quadruped robot.
- Trained the quadruped robot with reinforcement learning.
- Adjust the physical design and parameters of the quadruped robot.

### Summer Research Student @ UC Santa Barbara
Jan 2018 – Jan 2018 | Santa Barbara, California Area
Supervised by Professor Yon Visell at RE Touch Lab
Topic: Multi-dimensional Skin Stretch Feedback for Prosthetic Hands by Haptic Rocker
- Designed the mechanical structure of one-dimensional and multi-dimensional haptic device.
- Made the haptic devices by 3D-printing and servo motors.
- Constructed the feedback algorithms and created feelings at the upper arm corresponding to the signals received by the prosthetic hands.
- Tested and evaluated the proprioceptive information generated by the feedback device.

### Teaching Assistant @ The University of Hong Kong
Jan 2016 – Jan 2017 | Hong Kong
- Prepared for the demonstration of class experiments, including electronic devices, FPGA development, circuit design and simulation.
- Instructed students to make the Rube Goldberg machine and the intelligent car.

### Robotics Team Leader @ The University of Hong Kong
Jan 2016 – Jan 2017 | Hong Kong
- Led the HKU robotics team to the ROBOMASTER competition held by DJI.
- Ran a student research lab  (Dream Lab) in the University of Hong Kong.
- Design and built combat robots incorporating computer vision, embedded systems and artificial intelligence.
- Mainly in charge of the control and hardware implementation.
- Won 2nd prize in the ROBOMASTER 2018 competition.


## Education
### Master of Science - MS in Electrical and Computer Engineering - Robotics
University of Michigan

### Bachelor's degree in Electrical and Electronics Engineering
The University of Hong Kong

### Exchange in Electrical Engineering and Computer Science
UC Santa Barbara

### Summer Session in Electrical Engineering and Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/zhaohan-lu

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Source: https://flows.cv/zhaohan
JSON Resume: https://flows.cv/zhaohan/resume.json
Last updated: 2026-04-11