US 12,215,466 B1
Airport pavement condition assessment methods and apparatuses
Grant Bishop, Oakton, VA (US); Valerie Saur, Lees Summit, MO (US); Shihlin Lu, Reston, VA (US); Michael Fuller, Albuquerque, NM (US); Juan Naputi, Reston, VA (US); Christopher Davis Smith, Salem, VA (US); Kevin Sasso, Columbia, MD (US); April Kim, Baltimore, MD (US); and Daniel Serna, Albuquerque, NM (US)
Assigned to Bye UAS LLC, Albuquerque, NM (US)
Filed by Bye UAS, Inc., Albuquerque, NM (US)
Filed on Jul. 31, 2023, as Appl. No. 18/362,418.
Application 18/362,418 is a continuation of application No. 17/307,792, filed on May 4, 2021, granted, now 11,756,006.
Claims priority of provisional application 63/021,433, filed on May 7, 2020.
Int. Cl. E01C 23/00 (2006.01); G06T 11/60 (2006.01); G06V 20/17 (2022.01)
CPC E01C 23/00 (2013.01) [G06T 11/60 (2013.01); G06V 20/17 (2022.01)] 12 Claims
OG exemplary drawing
 
1. A method of determining and displaying pavement condition of airport pavement, comprising:
determining an orthomosaic of the airport pavement by scanning the airport pavement with an unmanned aerial system (UAS);
generating a plurality of subsections of the orthomosaic;
analyzing one or more subsections to determine a pavement condition index for that subsection, comprising using a neural network classifier to classify each subsection according to the presence of one or more of 16 types of pavement distresses set forth in ASTM D5340;
displaying to a user a representation of the pavement condition indices determined correlated with a representation of the airport pavement.