US 11,993,283 B2
System and method for performing graph imputation
Rui Guo, San Jose, CA (US); Hongsheng Lu, San Jose, CA (US); and Prashant Tiwari, Santa Clara, CA (US)
Assigned to Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US)
Filed by Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US)
Filed on Aug. 31, 2021, as Appl. No. 17/462,758.
Prior Publication US 2023/0063960 A1, Mar. 2, 2023
Int. Cl. B60W 60/00 (2020.01); G06F 9/30 (2018.01); G06V 20/58 (2022.01)
CPC B60W 60/001 (2020.02) [G06F 9/30036 (2013.01); G06V 20/58 (2022.01); B60W 2420/403 (2013.01); B60W 2554/4049 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A method comprising steps of:
receiving, from an external source, an incoming graph stream comprising a plurality of graphs having detected object information and at least one missing graph;
transforming the plurality of graphs into incoming embedded vectors having values that represent detected object information of the incoming graph stream;
providing the embedded vector that corresponds to the at least one missing graph with a missing graph value; and
substituting the missing graph value with a substitute value using a recurrent neural network that interpolates the substitute value using the incoming embedded vectors that are not equal to the missing graph value.