IP Library › Granted Patent US 12,449,553
Granted Patent B2
US 12,449,553 · App. 17/814,065 · Granted Oct 21, 2025

Method for detecting the presence of interference during GNSS-based and INS-based localization of a vehicle

Inventors: Mohammad Tourian (Stuttgart, DE); Jens Strobel (Freiberg am Neckar, DE)
Assignee: Robert Bosch GmbH
G01S19/49G01S19/21G01S19/47G01S19/22G01S19/40
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,449,553
App. No.
17/814,065
Granted
Oct 21, 2025
Kind
B2
Abstract

A method for detecting a presence of interference during global navigation satellite system (GNSS)-based and inertial sensor signals (INS)-based localization of a vehicle includes determining localization results using a first filter configured to read in GNSS data and INS data, and storing a plurality of the determined localization results. The plurality of the determined localization results are after one another in terms of time and are each determined using the first filter. The method further includes analyzing the stored plurality of localization results using a second filter which differs from the first filter.

Claims (25)

1. A method for detecting a presence of interference during global navigation satellite system (GNSS)-based and inertial sensor signals (INS)-based localization of a vehicle, comprising:

determining localization results using a first filter configured to read in GNSS data and INS data;

storing a plurality of the determined localization results, wherein the plurality of the determined localization results are after one another in terms of time and are each determined using the first filter;

reading in INS data using a second filter, the second filter different from the first filter;

analyzing the stored plurality of localization results using the second filter based on the INS data to detect the presence of interference and to correct the determined localization results; and

operating the vehicle based on the corrected localization results to avoid sudden localization changes of the vehicle due to the detected presence of interference.

2. The method according to claim 1 , wherein the first filter is a Kalman filter.

3. The method according to claim 2 , wherein the second filter is a particle filter.

4. The method according to claim 1 , wherein the second filter is configured to detect the presence of interference when the analysis of the stored plurality of localization results reveals a driving behavior which does not match a driving behavior which results from the INS data.

5. The method according to claim 4 , wherein localization results of the stored plurality of localization results for which the presence of interference is detected are deleted, adapted, or downweighted.

6. The method according to claim 1 , wherein a computer program is configured to carry out the method.

7. The method according to claim 6 , wherein the computer program is stored on a non-transitory machine-readable storage medium.

8. A method for detecting a presence of interference during global navigation satellite system (GNSS)-based and inertial sensor signals (INS)-based localization of a vehicle, comprising:

determining localization results using a first filter configured to read in GNSS data and INS data;

storing a plurality of the determined localization results, wherein the plurality of the determined localization results are after one another in terms of time and are each determined using the first filter; and

analyzing the stored plurality of localization results using a second filter which differs from the first filter,

wherein the second filter is configured to estimate localization results and to compare the estimated localization results with the stored plurality of localization results to detect the presence of interference and to correct the determined localization results, and

wherein the vehicle is operated based on the corrected localization results to avoid sudden localization changes due to the detected presence of interference.

9. A localization device for a vehicle, comprising:

a first filter configured to read in global navigation satellite system (GNSS) data and inertial sensor signals (INS) data, the first filter further configured to determine localization results based on the GNSS data and the INS data, wherein a plurality of the determined localization results are stored, and wherein the plurality of determined localization results are after one another in terms of time and are each determined using the first filter; and

a second filter different from the first filter, the second filter configured to read in the INS data and to analyze the stored plurality of localization results based on the INS data (i) to detect a presence of interference during GNSS-based localization of the vehicle, and (ii) to correct the determined localization results during INS-based localization of the vehicle.

10. The localization device according to claim 9 , wherein the first filter is a Kalman filter.

11. The localization device according to claim 10 , wherein the second filter is a particle filter.

12. The localization device according to claim 9 , wherein the second filter is configured to detect the presence of interference when the analysis of the stored plurality of localization results reveals a driving behavior which does not match a driving behavior which results from the INS data.

13. The localization device according to claim 12 , wherein localization results of the stored plurality of localization results for which the presence of interference is detected are deleted, adapted, or downweighted.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2022
From: TOURIAN, MOHAMMAD; STROBEL, JENS
To: ROBERT BOSCH GMBH
Reel/Frame 061408/0481 →
Priority Claims (1)
DE 10 2021 207 878.8 · Jul 22, 2021 · national
Continuity (1)
Related Publication 20230025795A1 · Jan 26, 2023
References Cited (11)
US 6560535B2 · Levy · 2003 [cited by examiner]
US 7702459B2 · Hoshizaki · 2010 [cited by examiner]
US 9026362B2 · Sanjay · 2015 [cited by examiner]
US 11733392B2 · Metzger · 2023 [cited by examiner]
US 12320902B2 · Clausen · 2025 [cited by examiner]
US 20170082757A1 · Kunkel · 2017 [cited by examiner]
US 20240167824A1 · Gabb · 2024 [cited by examiner]
CN 102914785A · 2013 [cited by examiner]
CN 113805214A · 2021 [cited by examiner]
EP 3828583A1 · 2021 [cited by examiner]
EP 3963286B1 · 2024 [cited by examiner]