Project Grant 1721578

This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $450,819 to The Ohio State University to develop artificial intelligence and spatial modeling methods for extracting architectural and geospatial data from historical Sanborn fire insurance maps. The key products and services delivered under this 3-year award, which runs from October 2025 to September 2028, include: Automating the extraction of building...

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...

This National Science Foundation (NSF) Division of Information and Intelligent Systems (CFDA #47.070) $1,034,326 Project Grant awarded to Brown University supports collaborative research to bridge the semantic-metric gap in multinocular 3D vision systems. The project aims to address key technical challenges in 3D computer vision, such as handling blurry/textureless images, leveraging redundant image data, and connecting geometric point clouds to semantic scene representations. The research...

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...

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...

The National Science Foundation (NSF) awarded a Project Grant of $599,649 to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The goal of this 3-year project, which commenced on April 15, 2024, is to develop perception systems that can infer the 3D structure of generic objects or scenes from 2D images, even with partial observations. Key technical efforts will include formulating mechanisms for learning novel 3D generative...

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...

This three-year National Science Foundation Project Grant of $300,000 will support the development of omnidirectional 3D spatial reconstruction capabilities using consumer-grade mobile phone audio sensors. Funded under the Computer and Information Science and Engineering program, the award to the University of Michigan aims to advance computational modeling of sound perception and effective sound-vision integration. Researchers will collect a large-scale audio-visual dataset using sensor rigs...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $199,870 to Michigan Technological University to develop a secure framework for intelligent 3D sensing systems, with a focus on applications such as autonomous vehicles. The project aims to enhance the robustness and security of 3D sensing technologies, which are critical for modern applications like autonomous driving, identity verification, and industrial design. The research...

This federal Project Grant award of $299,903 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a realistic 4D digital twin model of New York City. The "DigitizedNYC" project aims to create an open, community-driven platform for testing and evaluating AI systems and smart city technologies in a safe, repeatable, and realistic virtual environment. This digital twin will integrate...