Research Interests: 3D Point Cloud Analysis, Computer Vision, Prompt-Based Geospatial SegmentationÂ
Brief Bio: I am an undergraduate student in Computer Science at NC State University. My research focuses on developing an end-to-end workflow for targeted object extraction within LiDAR datasets. I am currently designing a pipeline that transforms 3D point cloud data into a 2D image representation to leverage promptable segmentation models. By utilizing specific visual cues to isolate features of interest and back-projecting the results into the 3D coordinate space, my work aims to create a more efficient and flexible methodology for labeling complex LiDAR scans.
