Bye UAS, Inc. (20240281773). AIRPORT PAVEMENT CONDITION ASSESSMENT METHODS AND APPARATUSES simplified abstract

AIRPORT PAVEMENT CONDITION ASSESSMENT METHODS AND APPARATUSES

Organization Name

Bye UAS, Inc.

Inventor(s)

Chelsey Toribio of Bloomingdale NJ (US)

Derek-Louie Trinidad of Syosset NY (US)

Grant Bishop of Oakton VA (US)

Valerie Saur of Lees Summit MO (US)

Shihlin Lu of Reston VA (US)

Michael Fuller of Albuquerque NM (US)

Juan Naputi of Reston VA (US)

Christopher Davis Smith of Salem VA (US)

Kevin Sasso of Columbia MD (US)

April Kim of Baltimore MD (US)

Daniel Serna of Albuquerque NM (US)

AIRPORT PAVEMENT CONDITION ASSESSMENT METHODS AND APPARATUSES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240281773 titled 'AIRPORT PAVEMENT CONDITION ASSESSMENT METHODS AND APPARATUSES

The present invention involves a method for assessing the condition of a pavement site using aerial images and image analysis tools.

• Acquiring aerial images of the site from above using an unmanned aerial system (UAS).
• Generating an orthomosaic of the airport pavement surface using photogrammetry tools.
• Using image analysis tools and machine learning methods to identify defects in the pavement.
• Producing an image representation of the site and defects for easy visualization.
• Storing and presenting defect data and related information for user access.

Potential Applications: - Civil engineering for pavement maintenance and management. - Infrastructure inspection and monitoring. - Urban planning and development projects.

Problems Solved: - Efficient and accurate assessment of pavement conditions. - Cost-effective maintenance planning. - Enhanced safety and longevity of pavement infrastructure.

Benefits: - Time and cost savings in pavement inspection. - Improved decision-making for maintenance strategies. - Increased overall pavement quality and lifespan.

Commercial Applications: Title: "Advanced Pavement Assessment Technology for Infrastructure Management" This technology can be used by government agencies, construction companies, and engineering firms for pavement assessment and maintenance planning. It can also be integrated into software applications for data management and analysis in the infrastructure sector.

Questions about the technology: 1. How does this method compare to traditional pavement inspection techniques? - The detailed aerial images and automated analysis tools provide a more comprehensive and efficient assessment compared to manual inspections. 2. What are the potential cost savings associated with using this technology? - By identifying defects early and accurately, maintenance can be planned more effectively, reducing overall repair costs in the long run.

Original Abstract Submitted

an example embodiment of the present invention provides a method of assessing the condition of a pavement site, comprising: (a) acquiring aerial images of the site from above, for example by an unmanned aerial system (uas); (b) using photogrammetry tools to generate an orthomosaic that represents the airport pavement surface; (c) using image analysis tools and machine learning methods to determine the location and extent of defects in the pavement; (c) producing an image representation of the site and the defects, where the location and extent of defects are discernible from the image; (d) using software application techniques to store and present defect data and other related information for client-side user access.