Yang Gao

Key Skills

Software

Supervisely

Other

Internal/Proprietary Tooling

Top Subject Matter

Self-driving car

Robotics

...

Top Data Types

3D Sensor

Image

Top Task Types

Bounding Box

Classification

Computer Programming Coding

Segmentation

Translation Localization

Freelancer Overview

Expert in AI computer vision data labeling for self-driving cars

Labeling Experience

Formula student — Lidar camera fusion

SuperviselyImageBounding BoxSegmentation

• Member of the autonomous system team, responsible for lidar camera fusion. • Analysed, selected and developed the state of the art lidar camera calibration methods. • Developed efficient lidar camera fusion algorithm in ROS using C++. • Deployed the neural network to the Edge TPU (Tensor Processing Unit). • Developed data collection tools using YOLO V4. • Award: – 1st place Formula Student Driverless Overall 2021 in Formula Student Czech, East and Germany – 2nd place Daimler Driverless AI Award 2021

• Member of the autonomous system team, responsible for lidar camera fusion. • Analysed, selected and developed the state of the art lidar camera calibration methods. • Developed efficient lidar camera fusion algorithm in ROS using C++. • Deployed the neural network to the Edge TPU (Tensor Processing Unit). • Developed data collection tools using YOLO V4. • Award: – 1st place Formula Student Driverless Overall 2021 in Formula Student Czech, East and Germany – 2nd place Daimler Driverless AI Award 2021

2020 - 2021

Atlatec GmbH

Internal Proprietary ToolingGeospatial Tiled ImageryPolygon

• Annotated HD map and inspected the quality of labeling.

• Annotated HD map and inspected the quality of labeling.

2018 - 2020

Education

Work History