Drew Meyers

Papers

Total Citations

2,055

H-Index

About

Drew Meyers is a leading researcher in the field of robotics, with a primary focus on state estimation, sensor fusion, and simultaneous localization and mapping (SLAM). His most significant contribution is the development of LIO-SAM, a groundbreaking framework for tightly-coupled lidar inertial odometry. This work, which has amassed over 2,000 citations, formulates lidar-inertial odometry on a factor graph, enabling highly accurate, real-time trajectory estimation and map-building for mobile robots. By integrating lidar and inertial measurement unit (IMU) data through smoothing and mapping techniques, Meyers’ approach allows for robust performance in challenging environments where individual sensors may fail. The LIO-SAM framework has become a cornerstone in the robotics community, widely adopted for autonomous navigation in applications ranging from autonomous driving to aerial robotics. Meyers’ work not only advances theoretical understanding but also provides practical, open-source tools that empower researchers and engineers to build more reliable autonomous systems. His contributions have set a new standard for lidar-inertial odometry, making him a pivotal figure in modern robotics research.