公开(公告)号：US12294970B2

公开(公告)日：2025-05-06

申请号：US18049902

申请日：2022-10-26

Applicant: GM Global Technology Operations LLC

Inventor： Jinzhu Chen ,  Zijun Han ,  Fan Bai ,  Aaron Adler ,  John Sergakis

IPC: H04W64/00 ,  H04B1/69

Abstract: Systems and methods for diagnosing sensor performance of a UWB sensor localization are provided. The system comprises a UWB tag, at least four UWB anchors, and a gateway. The gateway comprises an ECU arranged to receive sensor signals from the UWB anchors. The ECU comprises a preprocessing module arranged to align the sensor signals defining aligned data and is arranged to determine intersections of the aligned data defining points of intersections. The system further comprises a clustering module arranged to cluster the points of intersections defining at least one cluster of points of the UWB anchors to calculate a clustering quality and a clustering variance of each of the at least one cluster. The ECU is arranged to find a clustering contribution of each anchor defining a first contribution low of one of the anchors and is arranged to determine an erratic anchor based the first contribution low.

公开(公告)号：US20240171939A1

公开(公告)日：2024-05-23

申请号：US18049891

申请日：2022-10-26

Applicant: GM Global Technology Operations LLC

Inventor： Jinzhu Chen ,  Zijun Han ,  Aaron Adler ,  John Sergakis ,  Fan Bai

IPC: H04W4/02 ,  H04W4/40 ,  H04W64/00

CPC classification number: H04W4/027 ,  H04W4/40 ,  H04W64/006

Abstract: A method and system of resilient UWB target localization for a vehicle are provided. The system comprises a UWB tag arranged to be mobile and trackable by way of a sensor signal and at least three UWB anchors. Each anchor is in communication with the tag. The system further comprises a gateway in communication with the anchors. The gateway comprises an ECU arranged to receive sensor signals from UWB anchors. The ECU comprises a preprocessing module, a clustering module, and a Bayesian module. The preprocessing module is arranged to align sensor signals at an aligned timestamp to define aligned data. The clustering module is arranged to cluster points of intersections, defining a sensed location for each cluster. The Bayesian module is arranged to determine a real-time location of the tag based on a Bayesian probability function to match the sensed location with a predicted location of the tag.