Systems and Methods for Detecting a Vehicle Static Condition

• US 20080234933A1
• Filed: 03/19/2007
• Published: 09/25/2008
• Est. Priority Date: 03/19/2007
• Status: Active Grant

• Current Assignee: CSR Technology Incorporated (Qualcomm, Inc.)
• Original Assignee: SIRF Technology Incorporated (Qualcomm, Inc.)
• Inventors: Chansarkar, Mangesh, Zhang, Gengsheng, Zhang, Qiyue, Chowdhary, Mahesh
• Granted Patent: US 7,979,207 B2
• Time in Patent Office: Days
• US Class Current: 701/213
• CPC Class Codes: G01C 21/12 executed aboard the object being navigated; Dead reckoning

Abstract

Systems and methods for detecting a vehicle static condition are provided. In this regard, a representative system includes a sensor operative to detect at least one of acceleration and angular rate of a vehicle. The sensor is further operative to generate a vehicle vibration profile based on the at least one of the detected acceleration and angular rate of the vehicle. The system further includes a computing device operative to receive the vehicle vibration profile from the sensor, the computing device being further operative to determine whether the vehicle is stationary or moving based on the vehicle vibration profile. A representative method for detecting a vehicle static condition includes detecting at least one of acceleration and angular grade of a vehicle; generating a vehicle vibration profile based on at least one of the detected acceleration and angular grade of the vehicle; receiving the vehicle vibration profile; and determining whether the vehicle is stationary or moving based on the vehicle vibration profile.

Claims

1. A navigation system comprising:

a sensor operative to detect at least one of acceleration and angular rate of a vehicle, the sensor being operative to generate a vehicle vibration profile based on the at least one of the detected acceleration and angular rate of the vehicle; and

a computing device operative to receive the vehicle vibration profile from the sensor, the computing device being operative to determine whether the vehicle is stationary or moving based on the vehicle vibration profile.

2. The navigation system as defined in claim 1, wherein the computing device is further operative to process the vehicle vibration profile using dead-reckoning techniques to determine the vehicle'"'"'s position.

3. The navigation system as defined in claim 1, wherein the computing device is further operative to determine whether the vehicle is stationary or moving without calibration data related to the sensor.

4. The navigation system as defined in claim 3, wherein the calibration data related to the sensor includes sensor bias data and sensor scale factor data.

5. The navigation system as defined in claim 1, wherein the computing device is further operative to:

receive data detected by the sensor,

generate peak-to-peak variation in the acceleration and/or angular rate of the vehicle based on the detected data, and

determine whether the vehicle is stationary or moving based on the peak-to-peak variation.

6. The navigation system as defined in claim 5, wherein the computing device is further operative to:

determine whether the generated peak-to-peak variation is less than a threshold, and

responsive to determining that the peak-to-peak variation is less than the threshold, indicate that the vehicle is stationary.

7. The navigation system as defined in claim 6, wherein the computing device is further operative to:

responsive to detecting that the vehicle is stationary based on the peak-to-peak variation, determine whether the detection last more than a time threshold, and

responsive to determining that the detection last more than the time threshold, indicate that the vehicle is stationary.

8. The navigation system as defined in claim 1, wherein the computing device is further operative to:

validate whether the vehicle is stationary using global positioning system (GPS) velocity, and

responsive to validating that the vehicle is stationary, indicate that the vehicle is stationary.

9. The navigation system as defined in claim 8, wherein the computing device is further operative to:

determine whether the GPS velocity is less than or equal to a velocity threshold, and

responsive to determining that the GPS velocity is less than the velocity threshold, indicate that the vehicle is stationary.

10. The navigation system as defined in claim 1, wherein the computing device is further operative to:

receive data detected by the sensor,

generate standard deviation based on the detected data related to the acceleration of the vehicle,

determine whether the generated standard deviation is less than a threshold, and

responsive to determining that the generated standard deviation is less than the threshold, indicate that the vehicle is stationary.

11. The navigation system as defined in claim 1, wherein the computing device includes a GPS receiver and a navigation filter, the GPS receiver being operative to receive and transmit GPS signals to the navigation filter, the navigation filter being operative to process information related to the vehicle vibration profile based on the GPS signals.

12. The navigation system as defined in claim 11, wherein the GPS receiver is further operative to generate data related to a velocity of the vehicle based on the GPS signals, the GPS receiver being further operative to transmit the velocity data to the navigation filter, the navigation filter being further operative to determine whether the vehicle is stationary or moving based on the velocity data.

13. The navigation system as defined in claim 1, wherein the computing device is further operative to generate data relating to at least one of position, velocity, and attitude of the vehicle based on the data generated by the sensor, the data including the vehicle vibration profile.

14. A method for detecting a vehicle static condition, comprising:

detecting at least one of acceleration and angular rate of a vehicle;

generating a vehicle vibration profile based on at least one of the detected acceleration and angular rate of the vehicle; and

determining whether the vehicle is stationary or moving based on the vehicle vibration profile.

15. The method as defined in claim 14, further comprising:

receiving data detected by a sensor;

generating peak-to-peak variation in acceleration and angular rate of the vehicle based on the detected data; and

determining whether the vehicle is stationary or moving based on the peak-to-peak variation.

16. The method as defined in claim 15, further comprising:

determining whether the generated peak-to-peak variation is less than a threshold; and

responsive to determining that the peak-to-peak variation is less than the threshold, indicating that the vehicle is stationary.

17. The method as defined in claim 16, further comprising:

responsive to detecting that the vehicle is stationary based on the peak-to-peak variation, determining whether the detection last more than a time threshold; and

responsive to determining that the detection last more than the time threshold, indicating that the vehicle is stationary.

18. The method as defined in claim 14, further comprising:

receiving data detected by a sensor;

generating standard deviation based on the detected data related to the acceleration of the vehicle;

determining whether the generated standard deviation is less than a threshold; and

responsive to determining that the generated standard deviation is less than the threshold, indicating that the vehicle is stationary.

19. The method as defined in claim 14, further comprising:

validating whether the vehicle is stationary using GPS velocity; and

responsive to validating that the vehicle is stationary, indicating that the vehicle is stationary.

20. The method as defined in claim 19, further comprising:

determining whether the GPS velocity is less than or equal to a velocity threshold; and

responsive to determining that the GPS velocity is less than the velocity threshold, indicating that the vehicle is stationary.

21. The method as defined in claim 14, further comprising generating data relating to at least one of position, velocity, and attitude of the vehicle based on the data generated by a sensor, the data including the vehicle vibration profile.

22. A navigation system comprising:

a sensor operative to detect at least one of acceleration and angular rate of a vehicle; and

a computing device operative to;

receive data related to at least one of the detected acceleration and angular rate from the sensor,

generate peak-to-peak variation related to at least one of the detected acceleration and angular rate, and

determine whether the vehicle is stationary or moving based on the peak-to-peak variation.

23. The navigation system as defined in claim 22, wherein the computing device is further operative to:

validate whether the vehicle is stationary using GPS velocity, and

responsive to validating that the vehicle is stationary, indicate that the vehicle is stationary.

24. The navigation system as defined in claim 22, wherein the computing device is further operative to:

generate standard deviation based on the received data related to the detected acceleration,

determine whether the generated standard deviation is less than a threshold, and

responsive to determining that the generated standard deviation is less than the threshold, indicate that the vehicle is stationary.