US 12,169,775 B2
Methods and systems for enhanced scene perception using vehicle platoon
Hongsheng Lu, San Jose, CA (US); Bin Cheng, New York, NY (US); Rui Guo, San Jose, CA (US); Onur Altintas, Mountain View, CA (US); and John Kenney, 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 Oct. 8, 2020, as Appl. No. 17/066,004.
Prior Publication US 2022/0114433 A1, Apr. 14, 2022
Int. Cl. G06N 3/08 (2023.01); G05D 1/00 (2024.01); G06F 18/21 (2023.01); G06F 18/2415 (2023.01); G06V 20/58 (2022.01); G08G 1/00 (2006.01); H04W 4/44 (2018.01); H04W 4/46 (2018.01)
CPC G06N 3/08 (2013.01) [G05D 1/0291 (2013.01); G06F 18/21 (2023.01); G06F 18/2415 (2023.01); G06V 20/58 (2022.01); G08G 1/22 (2013.01); H04W 4/44 (2018.02); H04W 4/46 (2018.02)] 17 Claims
OG exemplary drawing
 
1. A vehicle comprising:
one or more sensors configured to obtain raw data related to a scene;
a controller configured to:
select a first neural network among a plurality of neural networks stored in one or more memory modules based on a position of the vehicle in a platoon;
transmit information about the selected first neural network to another vehicle in the platoon;
process the raw data with the first neural network to obtain a first prediction about the scene including a first classification probability of an object in the scene;
transmit the raw data to the another vehicle;
receive a second prediction about the scene including a second classification probability of the object in the scene from the another vehicle in response to transmitting the raw data to the another vehicle, the second prediction being obtained by processing the raw data with a second neural network of the another vehicle; and
determine an updated prediction about the scene including an updated classification probability of the object in the scene based on a combination of the first prediction and the second prediction.