LOW-IMPACT CRASH DETECTION SYSTEM

• US 20150091717A1
• Filed: 09/26/2014
• Published: 04/02/2015
• Est. Priority Date: 09/28/2013
• Status: Active Grant

• Current Assignee: Quartix Limited (Quartix Technologies Plc)
• Original Assignee: Quartix Limited (Quartix Technologies Plc)
• Inventors: Dobra, Thomas, Bentham, Jeremy
• Granted Patent: US 9,592,765 B2
• Time in Patent Office: Days
• US Class Current: 340/436
• CPC Class Codes: B60Q 9/008 for anti-collision purposes
• CPC Class Codes: B60R 21/0132 responsive to vehicle motion parameters , e.g. to vehicle longitudinal or transversal deceleration or speed value
• CPC Class Codes: G01P 21/00 Testing or calibrating of apparatus or devices covered by the preceding groups
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction

Abstract

There is provided a low-impact crash detection system for a vehicle comprising an accelerometer device from which horizontal components of acceleration are derived, a data processor comprising a FIR bandpass filter to generate filtered horizontal components of acceleration and a communication device for transmitting crash alert information, wherein the data processor is configured to generate an impact energy signal from the filtered horizontal acceleration components, to compare the impact energy signal with a threshold value to determine whether a low-impact crash has taken place, and to generate a crash alert for transmission by the communication device if the threshold value is exceeded. A method of low-impact crash detection is also provided, the method including a crash scoring method.

Claims

1. A low-impact crash detection system for a vehicle comprising an accelerometer device from which horizontal components of acceleration are derived, a data processor comprising a bandpass filter to generate filtered horizontal components of acceleration and a communication device for transmitting crash alert information, wherein the data processor is configured to generate an impact energy signal from the filtered horizontal acceleration components, to compare the impact energy signal with a threshold value to determine whether a low-impact crash has taken place, and to generate a crash alert for transmission by the communication device if the threshold value is exceeded.

2. The low-impact crash detection system according to claim 1, further comprising at least one filter means configured to generate filtered data for combining with the crash alert information.

3. The low-impact crash detection system according to claim 2, wherein the at least one filter means is configured to apply a plurality of processing rules or variants to acquired data from a vehicle.

4. The low-impact crash detection system according to claim 1, further comprising at least one remote server.

5. The low-impact crash detection system according to claim 1, wherein the bandpass filter is a FIR filter or an IIR filter.

6. The low-impact crash detection system according to claim 1, wherein the threshold value is set at 0.05 to 30 g².

7. The low-impact crash detection system according to claim 1, wherein the accelerometer device comprises a three-axis accelerometer configured to generate orientation data, and the data processor is configured to:

calculate a first rotation to isolate horizontal components of orientation data;

calculate a second rotation of the orientation data dependent on acceleration data obtained from a velocity measuring device; and

to perform the first and second rotations on the orientation data to calibrate the orientation of the three-axis accelerometer relative to an associated moving object.

8. The low-impact crash detection system according to claim 7, wherein the first and second rotations are combined to apply a single transformation to the orientation data.

9. The low-impact crash detection system according to claim 7, wherein the second rotation is calculated using vector and scalar products of the accelerometer data with acceleration data obtained from the velocity measuring device.

10. The low-impact crash detection system according to claim 7, wherein the first and second rotations are calculated rotational matrices to be applied to original data.

11. The low-impact crash detection system according to claim 7, wherein the velocity measuring device and the accelerometer device are each sampled at a different frequency.

12. The low-impact crash detection system according to claim 1, wherein the data processor is configured to accumulate orientation data and/or velocity data when moving between 5 km/h and 80 km/h.

13. The low-impact crash detection system according to claim 1, wherein the data processor accumulates data for a set period of time.

14. A method of low-impact crash detection comprising acquiring at least horizontal acceleration components from an accelerometer device;

filtering horizontal acceleration components using a bandpass filter so as to produce filtered horizontal acceleration components within a frequency range;

squaring the amplitude of the filtered horizontal acceleration components to produce an impact energy signal;

comparing the impact energy signal with a threshold value to determine whether a low-impact crash has taken place; and

providing a crash alert if the threshold value is exceeded.

15. The method of low-impact crash detection according to claim 14, further comprising filtering data obtained from a vehicle and combining with the impact energy signal to adjust the threshold value.

16. The method of low-impact crash detection according to claim 15, further comprising applying a plurality of processing rules or variants to acquired data.

17. The method of low-impact crash detection according to claim 14, further comprising setting the threshold value between 0.05 to 30 g².

18. The method of low-impact crash detection according to claim 14, further comprising quantifying the amount by which a threshold value is exceeded to provide information about a crash event.

19. The method of low-impact crash detection according to claim 14, wherein the accelerometer device is a three-axis accelerometer and the method further comprises:

acquiring orientation data from the three-axis accelerometer;

acquiring velocity data from a velocity measuring device;

calculating a first rotation to isolate horizontal components of the orientation data;

calculating a second rotation of the orientation data dependent on acceleration data derived from the velocity data; and

performing the first and second rotations on the orientation data to calibrate the orientation of the three-axis accelerometer relative to an associated moving object.

20. The method of low-impact crash detection according to claim 19, further comprising combining the first and second rotations to apply a single transformation to the orientation data.

21. The method of low-impact crash detection according to claim 19, further comprising identifying at least one first value representing a first angle of orientation of the accelerometer device relative to a first axis and identifying at least one second value representing a second angle of orientation of the accelerometer device relative to a second axis, the first axis being orthogonal to the second axis, and using the first value and the second value to calculate the first rotation.

22. The method of low-impact crash detection according to claim 19, further comprising accumulating orientation data and/or velocity data when moving between 5 km/h and 80 km/h.

23. The method of low-impact crash detection according to claim 19, further comprising accumulating data for a set period of time.

24. The method of low-impact crash detection according to claim 19, further comprising sampling each of the velocity measurement device and the accelerometer device at a different frequency.

25. The method of low-impact crash detection according to claim 14, further comprising using a crash scoring algorithm to modify when the crash alert is generated.