David Thompson
About David Thompson
David Thompson is a Software Engineer specializing in perception applications, currently employed at Torc Robotics. His research focuses on using machine learning to integrate LiDAR and camera data for object identification, and he has extensive experience in autonomous systems and robotics.
Work at Torc Robotics
David Thompson currently serves as a Software Engineer - Perception at Torc Robotics. He has been in this role since 2021, focusing on the development of perception systems for autonomous vehicles. His work involves applying machine learning techniques to enhance object identification capabilities, contributing to the advancement of autonomous technology.
Education and Expertise
David Thompson studied at Embry-Riddle Aeronautical University, where he earned a Doctor of Philosophy (PhD) in Mechanical Engineering from 2017 to 2021. He also holds a Master of Science (M.S.) in Mechanical Engineering, obtained from 2015 to 2017, and a Bachelor of Science (B.S.) in Aerospace, Aeronautical and Astronautical Engineering, completed from 2011 to 2015. His academic background supports his expertise in autonomous systems and perception applications.
Background
David Thompson has a diverse background in engineering and research. He worked as a Graduate Research Student at Embry-Riddle Aeronautical University from 2018 to 2021, where he focused on machine learning applications in perception. Prior to this, he held various internships, including a LiDAR Perception Intern position at Aptiv in 2018 and a Robotics Intern role at Leidos in 2016.
Achievements
David Thompson co-led Team Minion, which participated in the AUVSI Maritime RobotX Challenge in 2014, 2016, and 2018. His involvement in these competitions highlights his commitment to advancing robotics and autonomous systems. Additionally, his research focuses on integrating LiDAR and camera data for improved object identification, showcasing his contributions to the field.