Project Grant 2215542
- This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) provides $739,346 to the University of Michigan for research titled "A Scalable Configurable Acoustic Processor for Emerging Audio Applications." The research aims to address challenges around scale, time accuracy, latency, and synchronization for very large acoustic transducer arrays. This will enable applications like high-resolution acoustic holography, non-invasive surgery, augmented...
- This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...
- This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will provide $704,908 to support fundamental research to enable aerial robots smaller than 100 millimeters and weighing less than 100 grams to navigate through cluttered surroundings in the presence of smoke, darkness, dust, fog, and snow. The research will focus on developing sound-based sensing capabilities for these small aerial robots, as traditional vision-based systems struggle...
- This $479,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop algorithms and interfaces that enable easier and more effective 3D modeling, even without visual cues. The key objectives are to create: 1) accurate "in-air" 3D drawing tools, 2) sonification techniques for non-visual shape perception and editing, and 3) verbal 3D shape editing tools and interactions. This...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include: New rendering...
- This Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, provides $300,000 to The Trustees of Princeton University to develop computational tools that can automatically evaluate audio quality while maintaining strong agreement with human perception. The research aims to create new artificial intelligence models that learn to assess audio quality the way humans do, using novel machine learning techniques...
- 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 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop new computational tools that can automatically evaluate audio quality in line with human perception. The Ohio State University will receive $300,000 over 3 years starting September 1, 2025 to create artificial intelligence models that learn to assess audio quality the way humans do, using novel machine learning...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering program) to the University of Maine System provides $1,126,197 to develop a multisensory navigation assistance tool to aid individuals with visual impairments. The three-year project aims to: Identify information access requirements and optimize delivery via multisensory smartphone interfaces to support indoor navigation for blind and visually impaired individuals. Create...
- This federal Project Grant award of $350,000, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports collaborative research to enable advanced outdoor augmented reality (AR) applications. The key products to be developed include techniques for modeling the environment, determining human pose, and modeling virtual object interaction with the physical environment. This will enable the creation of AR applications...
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 with binaural microphones, speakers, and RGB-D stereo cameras paired with smartphones. Machine learning techniques will then be applied to map sound data to depth maps extracted from visual data, enabling 3D scene reconstruction from sound inputs alone. The goal is to achieve high-quality 3D perception capabilities using only stereo microphones available on mobile phones, with applications for navigation aids, emergency response, and inclusive content creation.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 3/29/23 |