US 11,656,364 B2
Real-time correlation of sensed position data with terrestrial features
Mary Amelia Walker, Phoenix, AZ (US); Robert Catron, Phoenix, AZ (US); Brian Vaughan, St. Louis, MO (US); and Hung Jung Lu, St. Louis, MO (US)
Assigned to Freeport-McMoRan Inc., Phoenix, AZ (US)
Filed by Freeport-McMoRan Inc., Phoenix, AZ (US)
Filed on Jun. 5, 2020, as Appl. No. 16/893,615.
Application 16/893,615 is a continuation of application No. 16/167,989, filed on Oct. 23, 2018, granted, now 10,712,448.
Prior Publication US 2020/0301022 A1, Sep. 24, 2020
Int. Cl. G01S 19/27 (2010.01); G01S 19/07 (2010.01); G06N 5/046 (2023.01); G06F 17/15 (2006.01)
CPC G01S 19/27 (2013.01) [G01S 19/07 (2013.01); G06F 17/15 (2013.01); G06N 5/046 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method of correlating sensed position data with terrestrial features, the sensed position data comprising sensed position points, the terrestrial features being located by terrestrial data, comprising:
receiving the sensed position data from a position sensing system operatively associated with a moveable object;
selecting a reduced set of snap point candidates from the terrestrial data based on a sensed position point;
choosing a best snap point candidate from among the reduced set of snap point candidates based on a plurality of predictive variables and corresponding weighting factors for each snap point candidate in the reduced set of snap point candidates, wherein said choosing comprises
determining values of the predictive variables for each snap point candidate in the reduced set of snap point candidates;
obtaining the weighting factors for the predictive variables;
calculating a score for each snap point candidate in the reduced set of snap point candidates based on the values of the predictive variables and the corresponding weighting factors; and
identifying the best snap point candidate based on the calculated score; and
snapping the sensed position point to the best snap point candidate to produce a snapped position point, wherein said selecting, said choosing, and said snapping are performed in substantially real time so that said method correlates the sensed position data from the moveable object with terrestrial features in substantially real time.