Project Grant 2222996
- This National Science Foundation (NSF) Small Business Technology Transfer (STTR) Phase I Project Grant of $275,000 will develop an Internet of Things (IoT) safety device and system for micro-mobility products under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Systems Research & Consulting LLC of Rochester, Michigan will receive the award to create cost-effective, innovative IoT technology essential to safety and reliability for micro-mobility vehicles and fleets...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Cooperative Agreement award of $1,554,922 to Saferdrive AI LLC will develop a generative simulation framework to validate autonomous vehicle safety under rare, high-risk conditions. The project aims to address the "long-tail" problem in autonomous vehicle testing by combining statistical realism through real-world traffic data reconstruction and adversarial scenario generation to stress-test...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $550,000, effective March 1, 2024 through February 28, 2026, aims to develop vehicle technologies that can improve traffic flow and reduce energy use by allowing automated vehicles to dynamically adjust their speeds based on real-time traffic conditions. The project will create a system to automatically detect and filter out erroneous traffic information to enable the safe...
- The National Science Foundation (NSF) awarded a $273,369 Project Grant to Intellisafe Analytics LLC for a Small Business Innovation Research (SBIR) Phase I project titled "Comprehensive, Human-Centered, Safety System Using Physiological and Behavioral Sensing to Predict and Prevent Workplace Accidents". The goal of this project is to develop a safety system that uses wearable technology to continuously collect real-time physiological and behavioral data from workers, and applies...
- This SBIR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop and validate a low-cost, tablet-based system that uses machine learning and aviation data analytics to enhance predictive accuracy of aircraft maneuvers in high-risk airspace near airports without air traffic control services. The goal is to reduce mid-air collisions and near-miss incidents, which occur frequently at over 90% of...
- This Project Grant from the Federal Motor Carrier Safety Administration within the U.S. Department of Transportation provides $1,301,162 to South Carolina State University to develop a commercial motor vehicle safety application using artificial intelligence. The application will detect vehicles under different weather and lighting conditions and generate safety alerts to reduce the risk of crashes. It will produce basic safety message data, estimate potential times of conflict between...
- This National Science Foundation Project Grant award of $274,059 provides funding for Solopulse Corporation to develop a single-pulse radio frequency software suite to improve safety for advanced driver assistance systems. The award falls under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), which seeks to advance research and innovation leading to breakthrough technologies and solutions to national challenges. Specifically, the awardee will develop and test software to...
- This $250,045 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund research at the University of Wisconsin-Madison on developing technologies and policies to enable remote operation of long-distance trucks. The research team will develop data-driven systems to continuously monitor challenging traffic conditions for remote operators. They will also develop safety filters mediating commands between autonomous systems and remote operators. The project will...
- This $482,972 National Science Foundation (NSF) Engineering program (CFDA 47.041) grant supports fundamental research at North Carolina State University (NC State) to understand the behavior and interactions of mixed autonomous and human-driven vehicle traffic streams. The project aims to: (1) characterize the driving behaviors of human-driven and connected automated vehicles in conflicting traffic, (2) analyze the collective impact of mixed traffic on traffic flow, and (3) develop robust...
- This Cooperative Agreement, awarded by the National Science Foundation (NSF) under their Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a comprehensive, human-centered safety system using physiological and behavioral sensing to identify hazards and predict and prevent workplace accidents. The $1,003,730 Phase II SBIR project, awarded to Intellisafe Analytics LLC, will automate the collection of real-time physiological, emotional, and behavioral data from...
SBIR PHASE I: AUTONOMOUS WARNING TRIANGLE SYSTEM (AWTS) FOR EMERGENCY STOPPING -THE BROADER IMPACT OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT IS TO ENSURE THE SECURE TRANSFER OF GOODS AND/OR PASSENGERS IN COMMERCIAL MOTOR VEHICLES (CMVS) AND PREVENT THE LIKELIHOOD OF SECONDARY INCIDENTS WHEN A COMMERCIAL MOTOR VEHICLES (CMV) HAS MADE AN EMERGENCY STOP ON A HIGHWAY. ALL CMVS NEED TO COMPLY WITH TRAFFIC SAFETY REGULATIONS AND DEPLOY EMERGENCY WARNING DEVICES (E.G., SAFETY TRIANGLES) DURING AN EMERGENCY STOP. WITHOUT THE PRESENCE OF A HUMAN DRIVER, AN AUTOMATED CMV SHOULD ALSO BE ABLE TO AUTOMATE EMERGENCY WARNING DEVICE PLACEMENT. PROPER PLACEMENT OF THESE WARNING DEVICES CAN BE LIFE-SAVING FOR DRIVERS OF NON-AUTOMATED VEHICLES ON A HIGHWAY. THE PROPOSED PROJECT WILL INCREASE THE SAFETY OF EXTERNAL DRIVERS BY PREVENTING ANY SECONDARY INCIDENTS ASSOCIATED WITH THE LANE/SHOULDER BLOCKAGE DUE TO A CMV MALFUNCTION AND PROTECT DRIVERS OF NON-AUTOMATED AND/OR SEMI-AUTOMATED VEHICLES BY ASSISTING IN THE DEPLOYMENT OF EMERGENCY WARNING TRIANGLES ON HIGHWAYS. THIS PROJECT AIMS TO REMOVE BARRIERS TO HIGHER-ORDER AUTOMATED TECHNOLOGY ADOPTION DUE TO LACK OF STANDARDIZATION. THE PROJECT WILL RESULT IN THE DESIGN, RESEARCH, AND DEVELOPMENT OF AN AFFORDABLE, AFTER-MARKET, RELIABLE, AND SAFE AUTONOMOUS WARNING TRIANGLE SYSTEM (AWTS) TO ENSURE THE SAFETY OF THE AUTOMATED AND SEMI-AUTOMATED COMMERCIAL MOTOR VEHICLES (CMVS) DURING AN EMERGENCY STOP WITHOUT REQUIRING HUMAN ASSISTANCE. AWTS CONSISTS OF THREE LOW-COST AUTONOMOUS TRIANGLE REFLECTOR DEVICES WHICH ARE PLANNED TO OPTIMALLY FIT IN A CHARGING DOCK/ENCLOSURE WHERE THEY WILL BE SAFELY STORED DURING STAND-BY MODE. WHEN ACTIVATED BY THE EMERGENCY SIGNAL TRANSMITTED FROM THE CMV, THE AUTONOMOUS TRIANGLES ARE DESIGNED TO MOVE SUCCESSIVELY TO THEIR PRE-DETERMINED DESTINATIONS ON THE HIGHWAY. THE RESEARCH AND DEVELOPMENT ACTIVITY DURING THIS PHASE I PROJECT INCLUDES, BUT IS NOT LIMITED TO: REVIEWING SAFETY CODES AND REGULATIONS, INVESTIGATING DIFFERENT HIGHWAY SCENARIOS AND ASSOCIATED CHALLENGES, AND PERFORMING COMPUTER SIMULATIONS; DEVELOPING PROOF-OF-CONCEPT HARDWARE THAT CAN DEMONSTRATE THE PROPOSED SYSTEM?S TECHNICAL FEASIBILITY AND ITS INTEGRATION TO AUTOMATED CMVS; DETERMINING THE OPTIMAL PLACEMENT AND ASSEMBLY OF THE AUTONOMOUS REFLECTIVE TRIANGLES BY COLLABORATING WITH AUTO MANUFACTURERS; INVESTIGATING THE POTENTIAL CYBER-SECURITY RISKS TO DEVELOP SECURE COMMUNICATIONS BETWEEN CMV AND AWTS; AND IDENTIFYING THE OPERATIONAL CHALLENGES AND THE DESIGN TARGETS WHILE CONSIDERING THE COST OF DEPLOYMENT, LIFECYCLE COSTS, FUNCTIONAL USE, AND INTEROPERABILITY. 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.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 3/4/24 | ||
| Not listed | $274.6k | 5/19/23 |