Method and apparatus for detecting a pedestrian impact

• US 7,415,337 B2
• Filed: 07/26/2005
• Issued: 08/19/2008
• Est. Priority Date: 07/26/2005
• Status: Active Grant

• Current Assignee: Aptiv Technologies AG
• Original Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Inventors: Kincaid, Kevin D., Hau, Lawrence C.
• Primary Examiner(s): Black; Thomas G.
• Assistant Examiner(s): LOUIE, WAE LENNY
• Application Number:
  US11/189,260
• Publication Number:
  US 20070027584A1
• Time in Patent Office: 1,120 Days
• Field of Search: 701/45, 280/735, 180/274, 340/436
• US Class Current: 701/45
• CPC Class Codes: B60R 21/0136 responsive to actual contact with an obstacle , e.g. to vehicle deformation, bumper displacement or bumper velocity relative to the vehicle monitoring crash strength in combination with passenger seat detection B60R21/01558
• CPC Class Codes: B60R 21/34 Protecting non-occupants of a vehicle, e.g. pedestrians B60R19/02 takes precedence

Abstract

The collision of a vehicle with a pedestrian is detected based on the response of bend sensor segments affixed to a vehicle body panel such as a bumper fascia. The sensor data is processed to identify the location of an object impacting the body panel, and is correlated with calibration data to determine the shape and mass of the object. Impacts with pedestrians are discriminated from impacts with other objects based on the determined shape and mass.

Claims

1. A method of detecting an impact of a vehicle with a pedestrian, comprising the steps of:

sensing deflections of a vehicle body panel at distributed sensing locations on said body panel;

identifying peak changes in the sensed deflection at each sensing location during impacts between said body panel and test objects of diverse shape and diverse mass at different impact speeds and sensing locations;

storing the identified peak changes in sensed deflection to form a body of baseline calibration data categorized by impact location, impact speed, test object mass, and test object shape;

detecting an impact between said body panel and an unknown object when the deflection sensed at one or more of said distributed sensing locations exceeds a threshold, and designating an impact location as the sensing location with highest deflection;

determining an impact speed between said body panel and said unknown object;

retrieving baseline calibration data corresponding to the designated impact location and the determined impact speed;

correlating peak changes in the sensed deflections due to the detected impact with the retrieved baseline calibration data to determine a shape and a mass of said unknown object; and

determining if said unknown object is a pedestrian based in part on the determined shape and the determined mass.

2. The method of claim 1, wherein:

the retrieved baseline calibration data includes an on-location peak deflection value for the designated impact location, and off-location peak deflection values for sensing locations away from the designated impact location; and

the peak changes in the sensed deflections due to the detected impact are correlated with the on-location peak deflection value to determine the mass of the unknown object, and with the off-location peak deflection values to determine the shape of the unknown object.

3. The method of claim 1, including the steps of:

determining a speed of said vehicle when said impact is detected; and

determining said impact speed according to the determined vehicle speed.

4. The method of claim 1, wherein:

said test objects of diverse shape include round test objects, flat test objects and pointed test objects.

5. Apparatus for detecting an impact of a vehicle with a pedestrian, comprising:

a set of sensor segments affixed to distributed sensing locations of a vehicle body panel to measure deflection of said body panel at said distributed sensing locations;

a memory unit for storing a body of baseline calibration data obtained from peak changes in the measured deflections during impacts between said body panel and test objects of diverse shape and diverse mass at different impact speeds and sensing locations; and

processing means for identifying peak changes in the measured deflections when an unknown object is impacted by said body panel, identifying the sensing location with highest peak change in measured deflection, determining an impact speed, correlating the identified peak changes in the measured deflections with baseline calibration data corresponding to the identified sensing location and the determined impact speed to determine a shape and a mass of the unknown object, and determining if the unknown object is a pedestrian based in part on the determined shape and the determined mass.

6. The apparatus of claim 5, wherein:

said body panel is a bumper or bumper fascia of said vehicle.

7. The apparatus of claim 5, wherein:

each of said sensor segments is a bend sensor.

8. The apparatus of claim 5, where:

the baseline calibration data stored in said memory unit for a respective sensing location includes a stored on-location peak change in measured deflection for the respective sensing location, and stored off-location peak changes in measured deflection for sensing locations other than the respective sensing location; and

the processing means;

(a) correlates the peak change in measured deflection at the identified sensing location with the stored on-location peak change in measured deflection to determine the mass of the unknown object, and (b) correlates the peak changes in measured deflection at sensing locations other than the identified sensing location with the stored off-location peak changes in measured deflection to determine the shape of the unknown object.

9. The apparatus of claim 5, wherein:

the test objects of diverse shape include round test objects, flat test objects and pointed test objects.