US 12,436,285 B2
Systems and methods for temporal decorrelation of object detections for probabilistic filtering
Kevin Lee Wyffels, Livonia, MI (US)
Assigned to Ford Global Technologies, LLC, Dearborn, MI (US)
Filed by FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US)
Filed on Jul. 1, 2021, as Appl. No. 17/364,958.
Prior Publication US 2023/0003886 A1, Jan. 5, 2023
Int. Cl. G01C 3/08 (2006.01); G01S 17/04 (2020.01); G01S 17/66 (2006.01); G05D 1/00 (2006.01)
CPC G01S 17/66 (2013.01) [G01S 17/04 (2020.01); G05D 1/0212 (2013.01); G05D 1/0248 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for tracking an object, comprising:
receiving, by a processor, a series of observations made over time for the object;
selecting, by the processor, a plurality of sets of observations using the series of observations for a plurality of filters, wherein at least two sets of observations among the plurality of sets of observations comprise at least one observation in common;
causing, by the processor, the plurality of sets of observations to be used by the plurality of filters to generate a track for the object, wherein the plurality of filters uses sensor data associated with each frame of a plurality of frames of sensor data only once during generation of the track; and
causing, by the processor, operations of an autonomous robot to be controlled based on the track for the object.