SBIR-STTR Award

Stereo Line-Scan Camera System for Surface Distress Identification- Phase II
Award last edited on: 3/6/22

Sponsored Program
STTR
Awarding Agency
DOD : Army
Total Award Amount
$1,266,475
Award Phase
2
Solicitation Topic Code
A20B-T017
Principal Investigator
Zeeshan Rasheed

Company Information

Novateur Research Solutions LLC

20110 Ashbrook Place Suite 275
Ashburn, VA 20147
   (703) 468-1200
   contact@novateurresearch.com
   www.novateurresearch.com

Research Institution

University of Texas - Arlington

Phase I

Contract Number: W912HZ-21-P-0009
Start Date: 12/21/20    Completed: 7/21/21
Phase I year
2021
Phase I Amount
$166,477
This SBIR Phase I project will demonstrate the feasibility and effectiveness of a sensor system to capture and construct high-resolution depth measurements for smooth surfaces such as concrete and asphalt pavements. The Novateur team will develop a prototype system using COTS components and test perform tests at its Accelerated Pavement Testing Facility (APTF). The proposed system incorporates hardware components including stereo line-scan camera, a high-resolution color camera, an IMU and artificial illumination. The Phase I effort will include; development of proposed sensor system prototype, algorithms and software tools for efficient stereo line-scan camera to color camera calibration, generation of high-resolution depth surface map and visualization interface. The project will benefit from Novateur Team’s expertise in the areas of computer vision, 3D reconstruction, line-scan camera systems, real-time autonomous systems, as well as pavement testing

Phase II

Contract Number: W912HZ-22-C-0023
Start Date: 4/25/22    Completed: 4/24/24
Phase II year
2022
Phase II Amount
$1,099,998
This STTR Phase II project will develop a multi-sensor system to construct high-resolution depth measurements for smooth surfaces such as concrete and asphalt pavements. The Novateur team will build upon the Phase I prototype system that used COTS components including stereo line-scan camera, a high-resolution color camera, an IMU and artificial illumination. The effectiveness of proposed was demonstrated by generating 3D point cloud estimation of pavement from a moving vehicle and by measuring the height of test objects. The Phase II effort will focus on developing an end-to-end system for stress and deflection estimation of pavement under heavy load, map-enabled visualization of 3D point cloud data and comparison of pavement surface status over time from historic data. The prototype system will be tested at Novateur Team’s Accelerated Pavement Testing Facility (APTF) and at the customer’s site on Heavy Vehicle Simulator (HVS) systems. The proposed effort will build upon the technologies developed during Phase I of this project and will leverage expertise of the Novateur Team in the areas of computer vision, 3D reconstruction, line-scan camera systems, real-time autonomous systems, as well as pavement testi