Guanqun Huang
About Guanqun Huang
Guanqun Huang is a Research Engineer at TuSimple, specializing in perception offline infrastructure and 3D pose fusion using radar, image, and lidar technologies. He holds a Master of Engineering from the University of California, Berkeley, and a Bachelor of Engineering from Huazhong University of Science and Technology.
Work at TuSimple
Guanqun Huang has been employed at TuSimple as a Research Engineer since 2020. In this role, he focuses on developing perception offline infrastructure, which is crucial for the company's autonomous driving technology. His work involves integrating various sensor data to enhance the accuracy and reliability of perception systems.
Education and Expertise
Guanqun Huang earned a Master of Engineering (MEng) in Mechanical Engineering from the University of California, Berkeley, completing his studies from 2019 to 2020. Prior to this, he obtained a Bachelor of Engineering (BE) in Mechanical Engineering from Huazhong University of Science and Technology, where he studied from 2015 to 2019. His academic background provides a strong foundation in engineering principles and practices.
Background
Before joining TuSimple, Guanqun Huang worked as a Computer Vision Engineer at Wuhan Cobot Technology Co., Ltd. in 2018 for a duration of two months. This experience contributed to his knowledge in computer vision applications, which is relevant to his current work in perception systems.
Specialization in 3D Pose Fusion
Guanqun Huang specializes in 3D pose fusion, which involves the integration of data from radar, image, and lidar technologies. This specialization is essential for improving the performance of autonomous systems, enabling them to accurately interpret their surroundings and make informed decisions.