Project Grant 1230262

This $275,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a suite of software that automatically routes building services systems through 3D obstructed space to achieve near-optimal, clash-free solutions. The project involves developing a highly efficient 3D modeling environment using "low-resolution surface tessellation" to minimize data storage and...

This $274,904 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an integrated computer vision capability to construct detailed 3D models from 2D photographs. The project aims to integrate geometric and semantic methods to accurately extract critical infrastructure asset features, such as utility pole height, inclination, wire gauges, deterioration, and...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Nearabl, Inc. focuses on innovating mobile-based 4D progression of indoor spaces through dynamic 3D mapping and reconstruction. The proposed research aims to develop an attention-based modeling and reconstruction mechanism to enhance 3D reconstruction, coupled with an AI-enhanced mixed reality guide to improve data collection and achieve precise 3D modeling from mobile...

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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant awarded $275,000 to ADA TECH LLC to develop a novel artificial intelligence-powered generative design solution. The project aims to integrate consumer data, Internet of Things (IoT) telemetry, and design for excellence (DFX) engineering specifications into 3D generative computer-aided-design models. The primary objectives are to enable the...

This National Science Foundation Project Grant of $274,929 will support Morphobotics LLC to develop an automated sub-canopy 3D forest mapping solution using uncrewed aerial vehicles. The goal is to produce a high-fidelity, open-source UAV exploration environment with 3D mapping capabilities meeting payload constraints for use in prescribed forest burn environmental assessments and spatial fire modeling. This addresses a need under the NSF Technology, Innovation, and Partnerships program's...

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...

This SBIR Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (TIP) program, with a total funding amount of $274,985, is focused on developing an artificial intelligence (AI) system to accelerate semiconductor production using physics-embedded lithographic foundation models. The project aims to alleviate design and manufacturing complexities associated with the shift to extreme ultraviolet (EUV) lithography in semiconductor manufacturing, which has...

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...

This National Science Foundation project grant of $600,000 will fund research and software development to improve the accuracy of map services through 2025. Under the Computer and Information Science and Engineering program, the University of Minnesota will build comprehensive maps incorporating traffic metadata to identify missing information. Researchers will also develop techniques to calibrate query results and leverage accurate maps and metadata. The award aims to significantly boost...