Fuheng Deng
About Fuheng Deng
Fuheng Deng is a Research Development Software Engineer at TuSimple, where he specializes in localization and pose estimation systems for autonomous trucks. He holds a Bachelor of Engineering from Huazhong University of Science and Technology and a Master of Science in Mechanical Engineering from the University of California, San Diego.
Current Role as Research Development Software Engineer
Fuheng Deng currently holds the position of Research Development Software Engineer at TuSimple, where he has been employed since 2019. He works in San Diego, California, focusing on advanced software solutions for autonomous driving technology. His role involves developing complex systems that enhance the functionality and accuracy of Level 4 autonomous trucks.
Experience at TuSimple
Fuheng Deng has extensive experience at TuSimple, having initially worked as a Software Engineer from 2018 to 2019. He contributed to the development of a localization and pose estimation system for Level 4 trucks, emphasizing factor graph optimization and real-time filtering. He also served as an Autonomous Driving Software Engineering Intern from 2017 to 2018, where he gained foundational experience in autonomous vehicle technology.
Educational Background
Fuheng Deng earned a Bachelor of Engineering (B.E.) in Material Processing & Control Engineering from Huazhong University of Science and Technology, completing his studies from 2012 to 2016. He furthered his education at the University of California, San Diego, where he obtained a Master of Science (M.S.) in Mechanical Engineering from 2016 to 2018. During his time at UC San Diego, he also studied Computer and Mechanical Engineering for one year, achieving a GPA of 3.56/4.00.
Technical Expertise and Contributions
Fuheng Deng specializes in LiDAR odometry and hand-eye calibration between LiDAR and IMU. He has achieved sensor calibration accuracy under 5cm by optimizing multiple sensors, including camera, LiDAR, radar, and IMU. His work includes improving sensor calibration consistency by integrating constraints among sensor observations and utilizing a data-driven approach for large-scale benchmarking to enhance algorithm performance.
Previous Work Experience
Before his tenure at TuSimple, Fuheng Deng worked as a Visiting Student at Dongfeng Motor Corporation Technical Center for one month in 2015. He also gained experience as a Supply Management Intern at Diageo China for three months in 2016. These roles contributed to his understanding of engineering and supply chain management within the automotive and beverage industries.