公开(公告)号：US12051233B2

公开(公告)日：2024-07-30

申请号：US17595079

申请日：2020-10-30

Applicant: GOERTEK INC.

Inventor： Libing Zou ,  Yifan Zhang ,  Baoming Li ,  Yue Ning

IPC: G06V10/774 ,  G06N3/084 ,  G06V10/46

CPC classification number: G06V10/774 ,  G06N3/084 ,  G06V10/46

Abstract: The present application discloses a method for filtering image feature points and a terminal. The method for filtering image feature points includes: providing quality score values to feature points extracted from an image, and according to the feature points and the quality score values of the feature points, training a neural-network model; after one time of filtering has started up, acquiring one frame of an original image and extracting feature points in the original image; inputting the original image and the feature points in the original image into the neural-network model, obtaining and outputting quality score values corresponding to the feature points in the original image; and according to the quality score values, filtering the feature points in the original image. The method for filtering image feature points can improve the success rate of the matching of the feature points in relocated application scenes, thereby improving the locating efficiency.

公开(公告)号：US20230408278A1

公开(公告)日：2023-12-21

申请号：US18037914

申请日：2021-09-28

Applicant: Goertek Inc.

Inventor： LIBING ZOU ,  Yifan Zhang ,  Yue Ning ,  Fuqiang Zhang

IPC: G01C21/34 ,  G06N3/084

CPC classification number: G01C21/3492 ,  G06N3/084 ,  B60W2554/406 ,  B60W2554/4042

Abstract: The subject matter provides a path planning method, apparatus and electronic device. Wherein, the method comprises: performing environment modeling according to static road network information and dynamic road condition information of a road network so as to obtain an environment model; determining a plurality of candidate paths according to a starting point and an ending point; extracting from the environment model an environmental feature corresponding to each candidate path by a feature extraction network of a path planning model; inputting the environmental feature to a value estimation network of the path planning model so as to obtain an estimated value for each candidate path output by the value estimation network; determining an optimal path among the candidate paths according to the estimated value.