SBIR-STTR Award

Automated, Drone-Based Grade Crossing Inspection
Award last edited on: 3/3/2021

Sponsored Program
SBIR
Awarding Agency
DOT
Total Award Amount
$443,814
Award Phase
2
Solicitation Topic Code
190-FR6
Principal Investigator
Joshua Doran

Company Information

VisioStack Inc

1521 Laurens Road PO Box 6363
Greenville, SC 29606
   (864) 214-5883
   info@visiostack.com
   www.visiostack.com
Location: Single
Congr. District: 04
County: Greenville

Phase I

Contract Number: 6913G620P800014
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2020
Phase I Amount
$146,727
AXIS (Aerial Crossing Inspection System) is an innovative highway-rail grade crossing inspection system that will use UAVs and machine learning to perform inspections with unprecedented efficiency. AXIS is an end-to-end solution that will pre-plan inspection flight paths, use drone-mounted cameras to create a 3D model of the crossing, calculate the crossing’s risk profile and generate detailed technical reports.Instead of using expensive LiDAR hardware, AXIS will use high-end, but significantly less expensive, cameras to assess crossings by leveraging modern photogrammetry techniques. This imagery will also enable a high-quality 3D model of the crossing to be created, providing further context for decision making.In addition, AXIS will use drones to drastically decrease the time needed to perform inspections, utilizing machine learning to automatically evaluate a crossing’s risk profile. AXIS will make highway-rail crossing easier to evaluate and make inspection information accessible to key personnel, which will reduce safety related incidents.

Phase II

Contract Number: 6913G620C100018
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2020
Phase II Amount
$297,087
AXIS (Aerial Crossing Inspection System) is an innovative highway-rail grade crossing inspection system that uses UAVs, cloud processing and clustered-computing to perform inspections with unprecedented efficiency. AXIS is an end-to-end solution that preplans inspection flight paths, uses photogrammetry to create a 3D model of the crossing, calculates the crossing’s risk profile and