公开(公告)号：US20210080261A1

公开(公告)日：2021-03-18

申请号：US16816267

申请日：2020-03-12

Applicant: University of Electronic Science and Technology of China

Inventor： Zhuoling XIAO ,  Xinguo YU ,  Yi HE ,  Bo YAN

IPC: G01C21/18 ,  G01C25/00 ,  G06N3/04

Abstract: A pedestrian adaptive zero-velocity update point selection method based on a neural network, including the following steps: S1, collecting inertial navigation data of different pedestrians in different motion modes; S2, preprocessing the inertial navigation data collected in the step S1, labeling the preprocessed data, and obtaining a training data set, a validation data set, and a test data set according to the preprocessed data and a label corresponding to the preprocessed data; S3, inputting the training data set to a convolutional neural network for training, obtaining a pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and using the validation data set to validate the pedestrian adaptive zero-velocity update point selection model; and S4, inputting the test data set into the pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and obtaining a selection result of pedestrian zero-velocity update points.