1. Published a detailed calibration and accuracy study for Velodyne VLP-16 laser scanner.
2. Corrected systematic errors in legacy LiDAR datasets.
3. Developed a novel method to extract building features in earthquake zones and tested it on the 2014 Napa Valley earthquake.
4. Published a study on object-level uncertainty computation from infrastructure-mounted cameras.
5. Co-PI of an NHTSA-funded project to test ADS localization systems using different modalities.
Research Experience
1. Assistant Research Scientist in the Engineering Systems Group at UMTRI.
2. Affiliate Faculty in the Department of Robotics and Michigan Institute for Data Science.
3. Focused on robustness issues in the AV pipeline while working at Ford Motor Company.
4. Contributed to the development of sensing, localization, and decision-making modules in the AV pipeline.
Background
Research interests include addressing robustness and uncertainty issues in high-dimensional LiDAR sensing data. During his doctoral studies, he focused on calibration and accuracy studies of LiDAR data and developed methods to extract building features in earthquake zones to estimate near-field movements during earthquakes.