公开(公告)号：US20220269899A1

公开(公告)日：2022-08-25

申请号：US17181581

申请日：2021-02-22

Applicant: Raytheon Company

Inventor： Jonathan Goldstein ,  Steven J. Shumadine ,  Christopher A. Eccles

IPC: G06K9/62 ,  G06K9/00 ,  G06N3/08 ,  G06Q50/30

Abstract: A computer obtains image frames. The computer identifies a chip within the image frames, the chip having a position and dimensions determined based on a lane width. Based on a speed and a length of a vehicle passing through a field of view of the camera, the computer selects a subset of the image frames. The computer takes, from each of the image frames in the subset, the identified chip for use as input to an artificial neural network (ANN). The computer individually provides each taken chip as input to the ANN to generate an ANN output. Based on a combination of the ANN outputs, the computer identifies a shape, a number of axles, and a number of segments of the vehicle. The computer provides a tuple representing the vehicle shape, the number of axles, and the number of segments.

公开(公告)号：US20220028180A1

公开(公告)日：2022-01-27

申请号：US17385407

申请日：2021-07-26

Applicant: Raytheon Company

Inventor： Harrison Wong ,  Kirk E. Hansen ,  Philip A. Sallee ,  Drasko Sotirovski ,  Ronald F. Vega ,  Jonathan Goldstein

IPC: G07B15/06 ,  G08G1/017 ,  G01S17/10 ,  G01S17/89 ,  G01S7/4865 ,  G01S7/487 ,  G01C5/00 ,  G06K9/62 ,  G06N3/08

Abstract: Systems, devices, methods, and computer-readable media for. A method can include receiving, from a laser scan device of a tolling station, a time series of distance measurements, determining, based on the time series of distance measurements, height measurements indicating a height of a vehicle from a surface of a road. generating, based on the height measurements, an image of the height measurements, and classifying, using the image as input to a convolutional neural network (CNN), the vehicle.