Zhenyu Yang
About Zhenyu Yang
Zhenyu Yang is a Robotics Engineer with significant experience in developing advanced algorithms and systems for LiDAR mapping and drone technology. He holds multiple patents and has worked for notable companies including DJI and Continental.
Work at DJI
Zhenyu Yang has been employed at DJI as a Robotics Engineer since 2019. His role involves developing advanced robotics systems and technologies. Notably, he contributed to the development of an onboard speaker system for the DJI M210 drone, which features real-time broadcasting capabilities. His work at DJI reflects a commitment to enhancing drone functionalities through innovative engineering solutions.
Education and Expertise
Zhenyu Yang holds a Bachelor of Science in Electrical Engineering and Automation from North China Electric Power University, completed from 2011 to 2013. He furthered his education with a Bachelor of Science in Electrical and Computer Engineering from the Illinois Institute of Technology, where he studied from 2013 to 2015. He also earned a Master of Science in Computer Vision and Robotics from UC Santa Barbara, completing his studies from 2015 to 2019. His educational background provides a strong foundation in robotics and engineering principles.
Background
Before joining DJI, Zhenyu Yang gained experience in various roles related to robotics and computer vision. He worked as an Algorithm Intern at Continental from 2016 to 2017, where he focused on algorithm development for nearly a year. He also served as a Computer Vision R&D Intern at Productive Robotics, Inc. for three months in 2018. These positions contributed to his expertise in robotics and algorithm optimization.
Achievements in Robotics Engineering
Zhenyu Yang has made significant contributions to the field of robotics engineering. He implemented a direct geo-referencing LiDAR mapping system optimized for use with an 8 GB RAM laptop, enhancing memory efficiency. He also filed a patent for a post-processing software that utilizes the LOAM front-end, ICP algorithm, and bundle adjustment graph optimization. Additionally, he achieved a 60% reduction in time consumption for the PCL ICP algorithm through multi-threading optimization, showcasing his ability to improve algorithm performance.
Patents and Innovations
Zhenyu Yang has filed multiple patents related to robotics and algorithm development. One notable patent involves an algorithm that creates point cloud preview images for LAS files. His innovative approaches in algorithm design and optimization demonstrate his commitment to advancing technology in the field of robotics.