Project Grant 1853175

This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...

This four-year, $400,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems supports research at the Massachusetts Institute of Technology under the Computer and Information Science and Engineering program. The grant funds the development of new techniques for composing implicit representations to enable machines to perceive and reconstruct 3D scenes in a more generalizable manner. Investigators will explore methods to make representations...

This four-year, $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for 3D scene understanding. Specifically, the Stanford University researchers will explore implicit neural representations to model scene structure and details from raw images and videos. They will integrate findings into course development and partner with organizations to teach artificial intelligence, computer vision, and...

Aren, Inc. received a $276,000 Project Grant award from the National Science Foundation to develop an automated damage detection analysis software platform for civil infrastructure assets. Funded under the NSF's Technology, Innovation, and Partnerships program, the award's goal is to facilitate data-driven decision making for infrastructure investment through increased automation of the asset management process. Specifically, Aren will develop foundational technical capabilities using 3D...

Viatechnik LLC was awarded a $255,997 Project Grant from the National Science Foundation on December 1, 2021 to complete work by November 30, 2022. The grant was awarded under the NSF's Small Business Innovation Research (SBIR) program, specifically Phase I funding to support the development of technology leveraging Building Information Modeling (BIM) for more accurate indoor positioning. The SBIR program seeks to support innovative research with commercial potential by small businesses, with...

This $256,000 National Science Foundation Project Grant supports 2PI Inc. to develop a novel 3D sensor utilizing metasurface flat optics technology. Funded under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), this Phase I Small Business Innovation Research award aims to demonstrate an ultra-compact 3D sensor prototype with enhanced performance over existing solutions. Specifically, 2PI will validate a design featuring panoramic vision, improved spatial resolution, and...

This Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) provides $1,445,000 to the University of Texas at Austin to create new high-resolution datasets, a computational urban digital twin framework, and downscaled climate information for urban-scale analysis. The goal is to enable data-driven decision making on the deployment of critical infrastructure to better prepare for future extreme...

This National Science Foundation (NSF) Small Business Innovation Research (SBIR) Phase I project grant of $274,391 will fund the development of city-scale flood mapping using real-time sensor data. Awarded on September 15, 2022 with a completion date of August 31, 2023, this funding supports research under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Specifically, the awardee Hyfi LLC will advance new knowledge on the use of advanced analytics to estimate floods at...

The University of California, San Diego will use a $500,000 project grant from the National Science Foundation to support research titled "SMALL: PHYSICALLY-BASED LEARNING FOR SHAPE, LIGHTING AND MATERIAL IN COMPLEX INDOOR SCENES" from October 1, 2021 through September 30, 2024. The grant is funded through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in computing, communications, and...

This National Science Foundation award under the Engineering program (CFDA 47.041) provides $141,479 to the University of Pittsburgh to develop novel data fusion techniques for structural assessment of bridges during construction. Specifically, the university will acquire high-fidelity 3D models of the Fern Hollow Bridge replacement in Pittsburgh throughout the construction phases using laser and camera sensors on unmanned aerial systems. Simultaneous localization and mapping algorithms will...