2344140
Project Grant
Overview
Grant Description
Sbir phase I: semantic 3D for infrastructure asset modeling, maintenance, and predictive analysis -the broader/commercial impact of this small business innovation research (SBIR) phase I project is the on the effective maintenance, construction, resilience and performance of large-scale infrastructure.
The technology developed in this work will dramatically improve the productivity, accuracy, and quality of the information products generated by surveyors and engineers charged with assessing, designing, and maintaining infrastructure.
For example, the roughly 200M utility poles in US should be surveyed and corresponding solutions engineered approximately every three years for weather robustness, fire mitigation, line capacity, and for future overhead and underground extensions.
The technology has broad application in adjacent domains like water, natural gas, mining, oil and gas, power generation, transportation, mapping, and construction.
This small business innovation research (SBIR) phase I project integrates geometric methods for constructing detailed three-dimensional (3D) models from photographs with semantic methods used to segment and classify features or objects in two-dimensional (2D) photographs.
Key challenges include building 2D-3D correspondence across the geometric (3D) and semantic (2D) techniques, improving computational efficiency, and creating user interfaces to interact with and label data.
The integrated computer vision capability will be validated on datasets for electric power distribution infrastructure to extract critical features like line attachment points, pole height and inclination, wire gauges, pole deterioration, vegetation intrusion, electrical component types.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
- Subawards are not planned for this award.
The technology developed in this work will dramatically improve the productivity, accuracy, and quality of the information products generated by surveyors and engineers charged with assessing, designing, and maintaining infrastructure.
For example, the roughly 200M utility poles in US should be surveyed and corresponding solutions engineered approximately every three years for weather robustness, fire mitigation, line capacity, and for future overhead and underground extensions.
The technology has broad application in adjacent domains like water, natural gas, mining, oil and gas, power generation, transportation, mapping, and construction.
This small business innovation research (SBIR) phase I project integrates geometric methods for constructing detailed three-dimensional (3D) models from photographs with semantic methods used to segment and classify features or objects in two-dimensional (2D) photographs.
Key challenges include building 2D-3D correspondence across the geometric (3D) and semantic (2D) techniques, improving computational efficiency, and creating user interfaces to interact with and label data.
The integrated computer vision capability will be validated on datasets for electric power distribution infrastructure to extract critical features like line attachment points, pole height and inclination, wire gauges, pole deterioration, vegetation intrusion, electrical component types.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
- Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
San Diego,
California
92121-1616
United States
Geographic Scope
Single Zip Code
Limar Ai was awarded
Project Grant 2344140
worth $274,904
from National Science Foundation in July 2024 with work to be completed primarily in San Diego California United States.
The grant
has a duration of 8 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: Semantic 3D for infrastructure asset modeling, maintenance, and predictive analysis
Abstract
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is the on the effective maintenance, construction, resilience and performance of large-scale infrastructure. The technology developed in this work will dramatically improve the productivity, accuracy, and quality of the information products generated by surveyors and engineers charged with assessing, designing, and maintaining infrastructure. For example, the roughly 200M utility poles in US should be surveyed and corresponding solutions engineered approximately every three years for weather robustness, fire mitigation, line capacity, and for future overhead and underground extensions. The technology has broad application in adjacent domains like water, natural gas, mining, oil and gas, power generation, transportation, mapping, and construction.
This Small Business Innovation Research (SBIR) Phase I project integrates geometric methods for constructing detailed three-dimensional (3D) models from photographs with semantic methods used to segment and classify features or objects in two-dimensional (2D) photographs. Key challenges include building 2D-3D correspondence across the geometric (3D) and semantic (2D) techniques, improving computational efficiency, and creating user interfaces to interact with and label data. The integrated computer vision capability will be validated on datasets for electric power distribution infrastructure to extract critical features like line attachment points, pole height and inclination, wire gauges, pole deterioration, vegetation intrusion, electrical component types.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
AA
Solicitation Number
NSF 23-515
Status
(Complete)
Last Modified 7/8/24
Period of Performance
7/1/24
Start Date
3/31/25
End Date
Funding Split
$274.9K
Federal Obligation
$0.0
Non-Federal Obligation
$274.9K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2344140
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
RC99DL5JHLG9
Awardee CAGE
9YSD0
Performance District
CA-50
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Modified: 7/8/24