Daniel Lu
About Daniel Lu
Daniel Lu is the Mapping Lead at Ouster, specializing in SLAM and perception algorithms for autonomous vehicles. He has a background in engineering and robotics, with prior roles at Carnegie Mellon University, The University of British Columbia, and Facebook.
Current Role at Ouster
Daniel Lu serves as the Mapping Lead at Ouster, where he has been employed since 2016. His role focuses on the development and implementation of mapping technologies for autonomous vehicles. He leverages his expertise in SLAM (Simultaneous Localization and Mapping) algorithms and perception algorithms to enhance the functionality of autonomous systems. His work involves integrating lidar, cameras, and IMUs (Inertial Measurement Units) to improve vehicle navigation and environmental understanding.
Previous Experience in Academia
Prior to his current position, Daniel Lu held several roles in academic institutions. He worked as a Teaching Assistant at Carnegie Mellon University for three months in 2015. Additionally, he served as a Graduate Student Researcher at the same university from 2015 to 2016. Earlier, he was a Research Assistant at The University of British Columbia for seven months in 2011. These roles contributed to his foundational knowledge in robotics and autonomous systems.
Educational Background
Daniel Lu earned his Bachelor's degree in Engineering, Physics, and Mechatronics from The University of British Columbia, studying from 2008 to 2014. He then pursued a Master's degree in Robotics at Carnegie Mellon University, completing his studies from 2014 to 2016. His educational background provided him with a strong foundation in the principles of engineering and robotics, which he applies in his professional work.
Internship Experience at Facebook
In 2015, Daniel Lu completed a three-month internship as a Software Engineering Intern at Facebook in Menlo Park, California. During this internship, he gained practical experience in software development, which complemented his academic training and prepared him for his future roles in the technology sector.
Specialization in Autonomous Vehicle Technology
Daniel Lu specializes in SLAM algorithms and perception algorithms specifically designed for autonomous vehicles. His work involves utilizing advanced technologies such as lidar, cameras, and IMUs to enhance the capabilities of autonomous systems. This specialization is critical in the development of reliable and efficient navigation solutions for self-driving vehicles.