CAR NAVIGATION SYSTEM AND METHOD IN WHICH GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS) AND DEAD RECKONING (DR) ARE MERGED

• US 20150153178A1
• Filed: 04/29/2014
• Published: 06/04/2015
• Est. Priority Date: 11/29/2013
• Status: Abandoned Application

• Current Assignee: Hyundai Mobis Co., Ltd.
• Original Assignee: Hyundai Mobis Co., Ltd.
• Inventors: Lee, Sang Sun, Lee, Dong Keon, Koo, Bon Wook, Gim, Joon Seong
• Application Number:
  US14/264,824
• Publication Number:
  US 20150153178A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/188 for accumulated errors, e.g. by coupling inertial systems with absolute positioning systems
• CPC Class Codes: G01S 19/49 whereby the further system is an inertial position system, e.g. loosely-coupled

Abstract

Disclosed is a car navigation system and method. The present invention includes a sensor unit including a plurality of sensors, each, configured to measure a state of a vehicle using a predetermined scheme and to obtain sensor data; a vehicle to everything (V2X) unit configured to receive the sensor data from the sensor unit, and including a global navigation satellite system (GNSS) module to thereby receive a satellite signal and to generate GNSS data; and a position estimator configured to receive the sensor data and the GNSS data from the V2X unit, to evaluate an accuracy of each of the sensor data and the GNSS data using a predetermined scheme, and to obtain position coordinates of the vehicle by merging GNSS position coordinates obtained from the GNSS data and dead reckoning (DR) position coordinates obtained from the sensor data based on the evaluation result.

Claims

1. A car navigation system, comprising:

a sensor unit comprising a plurality of sensors, each, configured to measure a state of a vehicle using a predetermined scheme and to obtain sensor data;

a vehicle to everything (V2X) unit configured to receive the sensor data from the sensor unit, and comprising a global navigation satellite system (GNSS) module to thereby receive a satellite signal and to generate GNSS data; and

a position estimator configured to receive the sensor data and the GNSS data from the V2X unit, to evaluate an accuracy of each of the sensor data and the GNSS data using a predetermined scheme, and to obtain position coordinates of the vehicle by merging GNSS position coordinates obtained from the GNSS data and dead reckoning (DR) position coordinates obtained from the sensor data based on the evaluation result.

2. The car navigation system of claim 1, wherein the GNSS data comprises GNSS raw measurement data and a time at which the GNSS raw measurement data is obtained.

3. The car navigation system of claim 2, wherein the position estimator comprises:

a data extractor configured to receive the sensor data and the GNSS data from the V2X unit, to extract, from the sensor data, sensor analysis data comprising steering angle, wheel pulse, acceleration, and yaw rate data, and to extract the GNSS raw measurement data from the GNSS data;

a data-based position estimator configured to receive the GNSS raw measurement data and the sensor analysis data from the data extractor, to estimate the GNSS position coordinates from the GNSS raw measurement data, and to estimate the DR position coordinates from the sensor analysis data;

an accuracy calculator configured to determine an accuracy of each of the GNSS raw measurement data and the sensor analysis data; and

a final position calculator configured to calculate the position coordinates of the vehicle using the GNSS position coordinates, based on the accuracy of each of the GNSS raw measurement data and the sensor analysis data determined by the accuracy calculator, or to calculate the position coordinates of the vehicle by merging the GNSS position coordinates and the DR position coordinates.

4. The car navigation system of claim 3, wherein the data extractor determines whether the GNSS data is received from the V2X unit, and when the GNSS data is received, synchronizes the GNSS data and the sensor data by analyzing and matching a time of the GNSS data and a time of the sensor data.

5. The car navigation system of claim 4, wherein the final position calculator stores the position coordinates of the vehicle as final position coordinates.

6. The car navigation system of claim 5, wherein the data-based position estimator determines whether the estimated GNSS position coordinates are initial GNSS position coordinates that are initially obtained after driving a GNSS, when the estimated GNSS position coordinates are the initial GNSS position coordinates, estimates the position coordinates of the vehicle based on the initial GNSS position coordinates and the DR position coordinates, and when the estimated GNSS position coordinates are not the initial GNSS position coordinates, estimates the position coordinates of the vehicle based on previously stored final position coordinates and the DR position coordinates.

7. The car navigation system of claim 6, wherein when the GNSS raw measurement data is not received from the data extractor, the data-based position estimator estimates the position coordinates of the vehicle based on the DR position coordinates corresponding to the received sensor analysis data and the previously stored final position coordinates.

8. The car navigation system of claim 7, wherein the accuracy calculator calculates the accuracy of each of the GNSS data and the sensor data using a predetermined scheme, determines whether the calculated accuracy of the GNSS data is greater than or equal to a predetermined first reference value, determines whether the calculated accuracy of the sensor data is greater than or equal to a predetermined second reference value, and transmits a determination result to the final position calculator.

9. The car navigation system of claim 8, wherein the final position calculator receives the GNSS position coordinates and the DR position coordinates estimated by the data-based position estimator, receives the determination result as to the accuracy of each of the GNSS data and the sensor data determined by the accuracy calculator, and when the accuracy of the GNSS data is less than the first reference value, obtains the position coordinates of the vehicle by merging and correcting the previously stored final position coordinates and the DR position coordinates using a Kalman filter.

10. The car navigation system of claim 9, wherein when the accuracy of the GNSS data is greater than or equal to the first reference value and the accuracy of the sensor data is greater than or equal to the second reference value, the final position calculator obtains the position coordinates of the vehicle by merging and correcting the GNSS position coordinates and the DR position coordinates using the Kalman filter.

11. The car navigation system of claim 10, wherein when the accuracy of the GNSS data is greater than or equal to the first reference value and the accuracy of the sensor data is less than the second reference value, the final position calculator obtains the position coordinates of the vehicle by correcting the GNSS position coordinates using the Kalman filter.

12. A car navigation method of a car navigation system comprising a sensor unit comprising a plurality of sensors, each, configured to measure a state of a vehicle using a predetermined scheme and to obtain sensor data, a V2X unit configured to receive the sensor data from the sensor unit, and comprising a GNSS module to thereby receive a satellite signal and to generate GNSS data, and a position estimator, the method comprising:

by the position estimator,

receiving at least one of the sensor data and the GNSS data from the V2X unit;

obtaining DR position coordinates from the sensor data;

obtaining GNSS position coordinates from the GNSS data;

estimating a position of the vehicle based on the DR position coordinates and the GNSS position coordinates;

calculating and evaluating an accuracy of each of the sensor data and the GNSS data using a predetermined scheme; and

obtaining position coordinates of the vehicle by merging the GNSS position coordinates and the DR position coordinates based on the evaluation result.

13. The method of claim 12, wherein the GNSS data comprises GNSS raw measurement data and a time at which the GNSS raw measurement data is obtained.

14. The method of claim 13, wherein the receiving of the at least one comprises:

determining whether the GNSS data is received;

synchronizing the GNSS data and the sensor data by analyzing and matching a time of the GNSS data and a time of the sensor data when the GNSS data is received; and

extracting, from the sensor data, sensor analysis data comprising steering angle, wheel pulse, acceleration, and yaw rate data.

15. The method of claim 14, wherein the estimating of the position coordinates of the vehicle comprises:

determining whether the obtained GNSS position coordinates are initial GNSS position coordinates that are initially obtained after driving a GNSS;

estimating the position coordinates of the vehicle based on the initial GNSS position coordinates and the DR position coordinates when the obtained GNSS position coordinates are the initial GNSS position coordinates; and

estimating the position coordinates of the vehicle based on previously stored final position coordinates and the DR position coordinates when the obtained GNSS position coordinates are not the initial GNSS position coordinates or when the GNSS data is not received.

16. The method of claim 14, wherein the obtaining of the position coordinates of the vehicle comprises:

obtaining the position coordinates of the vehicle by merging and correcting the previously stored final position coordinates and the DR position coordinates using a Kalman filter when the accuracy of the GNSS data is less than a predetermined first reference value as the evaluation result;

obtaining the position coordinates of the vehicle by merging and correcting the GNSS position coordinates and the DR position coordinates using the Kalman filter when the accuracy of the GNSS data is greater than or equal to the first reference value and the accuracy of the sensor data is greater than or equal to a predetermined second reference value; and

obtaining the position coordinates of the vehicle by correcting the GNSS position coordinates using the Kalman filter when the accuracy of the GNSS data is greater than or equal to the first reference value and the accuracy of the sensor data is less than the second reference value.