This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $599,945 will fund the development of a 3D computer vision framework that integrates multiple sensing modalities, including RGB cameras, depth sensors, LiDAR, and event cameras. The research aims to enhance feature extraction, tracking, and large-scale scene reconstruction to improve perception accuracy and adaptability in unstructured environments. Key research objectives include: (1) developing multi-modal imaging systems, (2) integrating short- and long-range sensor data using transformer-based architectures, (3) creating adaptive 3D reconstruction algorithms, and (4) designing real-time tracking algorithms to manage occlusions and dynamic elements. The findings are expected to contribute to advancements in computer vision, robotics, and artificial intelligence, while providing publicly available datasets and educational resources. The award was granted to Clemson University, with a project period from June 15, 2025 to May 31, 2030.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $599.9k | 6/6/25 |