US 11,869,373 B1
Autonomous and automatic, predictive aircraft surface state event track system and corresponding methods
Eric Chartier, St. Louis Park, MN (US); Paul Davis, Saratoga, CA (US); Erin Gambucci, San Jose, CA (US); and Douglas Sweet, Sunnyvale, CA (US)
Assigned to Architecture Technology Corporation, Minneapolis, MN (US)
Filed by Architecture Technology Corporation, Minneapolis, MN (US)
Filed on Jun. 9, 2022, as Appl. No. 17/836,368.
Application 17/836,368 is a continuation of application No. 16/542,334, filed on Aug. 16, 2019, granted, now 11,393,348.
Application 16/542,334 is a continuation in part of application No. 16/357,216, filed on Mar. 18, 2019, granted, now 11,195,423, issued on Dec. 7, 2021.
Application 16/357,216 is a continuation of application No. 15/588,574, filed on May 5, 2017, granted, now 10,235,892, issued on Mar. 19, 2019.
This patent is subject to a terminal disclaimer.
Int. Cl. G08G 5/00 (2006.01); B64D 45/00 (2006.01)
CPC G08G 5/0078 (2013.01) [B64D 45/00 (2013.01); G08G 5/0008 (2013.01); G08G 5/0013 (2013.01); G08G 5/0026 (2013.01); G08G 5/0043 (2013.01); B64D 2045/0075 (2013.01)] 27 Claims
OG exemplary drawing
 
1. An automatic, autonomous predictive aircraft surface state event track (ASSET) system comprising an off-airplane ASSET service in signal communication with an airplane operating on a surface of an airport, comprising:
an onboard ASSET system installed on the airplane and configured to control an onboard sensor suite to acquire sensor data indicative of operational states of the airplane and transmit the sensor data to the off-airplane ASSET service;
a non-transitory computer-readable storage medium, of the ASSET service, having encoded thereon machine instructions for predicting surface state events of the airplane; and
an ASSET service processor that executes the machine instructions to receive the sensor data, wherein the ASSET service processor further:
computes an operational state of the airplane using the sensor data received from the airplane,
identifies future aircraft events associated with operation of the airplane on the surface of the airport, and
using the computed airplane operational state and the identified future aircraft events, provides to aircraft flight control, a prediction that within a statistically-derived time window, the airplane will meet a future aircraft surface state event.