Nova Patents
CA2992287C

Impact detection system

Abstract

An impact detection system is disclosed for detecting and identifying an object colliding with a vehicle. The impact detection system comprises a sensor arrangement arranged to measure a characteristic of an impact of the object against the vehicle, a trigger determiner associated with the sensor arrangement for determining whether the characteristic of the 5 impact is greater than a predefined threshold value, and an image capturing device arranged to capture an image of the object. The system is arranged to automatically make the captured image available for inspection in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the image can be identified substantially in real-time.

CA2992287C, drawing sheet 1
Sheet 1 of 4

Term

9.8 yearsleft in the term

Expires 14 July 2036.

  1. Priority
  2. Filed
  3. Granted
  4. Today
  5. Expires

52 claims: 32 independent, 20 dependent

  1. 1
    -11 CLAIMS 1. An impact detection system for an autonomously controlled train, the impact detection system comprising:a sensor arrangement arranged to measure a characteristic of an impact of an object against the autonomously controlled train;a trigger determiner associated with the sensor arrangement for determining whether the characteristic of the impact is greater than a predefined threshold value;and an image capturing device arranged to capture an image of the object;wherein the system is arranged to: automatically make the captured image available for inspection in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value;send the captured image to a remote operation center for analysis so that the object in the image can be identified and a decision made as to whether to stop the autonomously controlled train;and communicate a stop decision to the autonomously controlled train if the decision is to stop the autonomously controlled train in real-time.
  2. 5
    An impact detection system as claimed in any one of claims 1 to 4, wherein the sensor arrangement comprises a transducer capable of generating an electrical signal that varies according to impact force applied to the transducer.
  3. 8
    An impact detection system as claimed in any one of claims 1 to 7, wherein the sensor arrangement comprises an accelerometer arranged to generate an electrical signal that varies in response to movement of a part of the vehicle caused by a head-on impact, and the system is arranged to:determine whether a magnitude of the electrical signal is greater than a predefined threshold value;and automatically make a captured image available for inspection in response to determining that the magnitude of the electrical signal is greater than the predefined threshold value so that the object in the image can be identified in real-time.
  4. 9
    An impact detection system as claimed in any one of claims 1 to 8, comprising a discriminator arranged to discriminate between signals generated by a collision with an object and signals generated in error by a non-collision.
  5. 11
    An impact detection system as claimed in any one of claims 1 to 10, wherein the predefined threshold value is equivalent to an impact by an object having a relative momentum with respect to the vehicle greater than 150 kg.m.s 1 .
  6. 12
    An impact detection system as claimed in any one of claims 1 to 11, wherein the image capturing device comprises a camera arranged to capture a still image and/or video.
  7. 13
    An impact detection system as claimed in any one of claims 1 to 11, comprising a communication system arranged to communicate with a remote operation centre, wherein the system is arranged to use the communications system to automatically communicate the captured image to the operation centre in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the image can be identified in real-time at the operation centre.
  8. 14
    An impact detection system as claimed claim 13, wherein the system is arranged to send an alert signal to the operation centre to indicate to the operation centre that a captured image is available for inspection.
  9. 15
    An impact detection system as claimed in any one of claims 1 to 14, wherein the system is arranged to analyse the image so as to automatically identify the object.
  10. 16
    A railroad train including an impact detection system as claimed in any one of claims 1 to 15.
  11. 17
    A method of detecting an object colliding with an autonomously controlled train, the method comprising:determining a characteristic of an impact of the object against the autonomously controlled train;determining whether the characteristic of the impact is greater than a predefined threshold value;capturing an image of the object;automatically making the captured image available for inspection in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value □ate Reçue/Date Received 2023-02-01 -14determining whether the characteristic of the impact is greater than a predefined threshold value;sending the captured image to a remote operation center for analysis so that the object in the image can be identified and a decision made as to whether to stop the autonomously controlled train;communicating a stop decision to the autonomously controlled train if the decision is to stop the autonomously controlled train.
  12. 21
    A method as claimed in any one of claims 17 to 20, comprising using a transducer capable of generating an electrical signal that varies according to impact force applied to the transducer to determine the characteristic of an impact of the object against the vehicle.
  13. 22
    A method as claimed in any one of claims 17 to 21, comprising discriminating between signals generated by a collision with an object and signals generated in error by a noncollision.
  14. 24
    A method as claimed in any one of claims 17 to 23, wherein the predefined threshold value is equivalent to an impact by an object having a relative momentum with respect to the vehicle greater than 150 kg.m.s' 1 .
  15. 25
    A method as claimed in any one of claims 17 to 24, comprising capturing at least one of a still image and a video recording of the object.
  16. 26
    A method as claimed in any one of claims 17 to 25, comprising automatically communicating the captured image to an operation centre in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the image can be identified in real-time.
  17. 28
    A method as claimed in any one of claims 17 to 27, comprising analysing the image so as to automatically identify the object.
  18. 29
    An impact detection system for an autonomously controlled train, the impact detection system comprising:a sensor arrangement arranged to measure a characteristic of an impact of an object against the autonomously controlled train;a trigger determiner associated with the sensor arrangement, the trigger determiner being arranged to determine whether the characteristic of the impact is greater than a predefined threshold value;and an image capturing device arranged to capture images;wherein the system is arranged to: store the images in a storage device;tag an image of the object that is stored in the storage device in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value, the image of the object being one of the images captured by the image capturing device;send the tagged image and at least one image that was captured by the image capturing device before occurrence of the impact to a remote operation □ate Reçue/Date Received 2023-02-01 -16centre for analysis so that the object in the tagged image can be identified and a decision made as to whether to stop the autonomously controlled train;and communicate a stop decision to the autonomously controlled train if the decision is to stop the autonomously controlled train in real-time.
  19. 34
    An impact detection system as claimed in any one of claims 29 to 33, wherein the sensor arrangement comprises an accelerometer arranged to generate an electrical signal that varies in response to movement of a part of the autonomously controlled train caused by a head-on impact, and the system is arranged to:determine whether a magnitude of the electrical signal generated by the accelerometer is greater than a predefined threshold value;and automatically send the tagged image to the remote operation centre in response to determining that the magnitude of the electrical signal generated by the accelerometer is greater than the predefined threshold value so that the object in the tagged image can be identified in real-time.
  20. 35
    An impact detection system as claimed in any one of claims 29 to 34, comprising a discriminator arranged to discriminate between signals generated by a collision with the object and signals generated in error by a non-collision. □ate Reçue/Date Received 2023-02-01
  21. 37
    An impact detection system as claimed in any one of claims 29 to 36, wherein the predefined threshold value is equivalent to an impact by an object having a relative momentum with respect to the autonomously controlled train greater than 150 kg.m.8· 1 .
  22. 38
    An impact detection system as claimed in any one of claims 29 to 37, wherein the image capturing device comprises a camera arranged to capture a still image and/or video.
  23. 39
    An impact detection system as claimed in any one of claims 29 to 38, comprising a communication system arranged to communicate with the remote operation centre, wherein the system is arranged to use the communications system to automatically communicate the tagged image to the remote operation centre in response to the trigger determiner determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the tagged image can be identified in real-time at the remote operation centre.
  24. 40
    An impact detection system as claimed claim 39, wherein the system is arranged to send an alert signal to the remote operation centre to indicate to the remote operation centre that the tagged image is available for inspection.
  25. 41
    An impact detection system as claimed in any one of claims 29 to 40, wherein the system is arranged to analyse the tagged image so as to automatically identify the object.
  26. 42
    A railroad train including the impact detection system as claimed in any one of claims 29 to 41. □ate Reçue/Date Received 2023-02-01
  27. 43
    A method of detecting an object colliding with an autonomously controlled train, the method comprising:determining a characteristic of an impact of the object against the autonomously controlled train;determining whether the characteristic of the impact is greater than a predefined threshold value;capturing images, one or more of the images being an image of the object;storing the captured images in a storage device;determining whether the characteristic of the impact is great than a predefined threshold value;tagging an image of the object that is stored in the storage device in response to determining that the characteristic of the impact is greater than the predefined threshold value, the image of the object being one of the captured images;sending the tagged image and at least one image that was captured before occurrence of the impact to a remote operation centre for analysis so that the object in the tagged image can be identified and a decision made as to whether to stop the autonomously controlled train;and communicating a stop decision to the autonomously controlled train if the decision is to stop the autonomously controlled train in real-time.
  28. 46
    A method as claimed in any one of claims 43 to 45, comprising discriminating between signals generated by a collision with the object and signals generated in error by a noncollision.
  29. 48
    A method as claimed in any one of claims 43 to 47, wherein the predefined threshold value is equivalent to an impact by an object having a relative momentum with respect to the autonomously controlled train greater than 150 kg.m.s‘ 1 .
  30. 49
    A method as claimed in any one of claims 43 to 48, comprising capturing a still image and/or a video recording of the object
  31. 50
    A method as claimed in any one of claims 43 to 49, comprising automatically communicating the tagged image to the remote operation centre in response to determining that the characteristic of the impact is greater than the predefined threshold value so that the object in the tagged image can be identified in real-time.
  32. 52
    A method as claimed in any one of claims 43 to 51, comprising analysing the tagged image so as to automatically identify the object. □ate Reçue/Date Received 2023-02-01
Independent claims32