CN-122029416-A - Determining seat belt position using pressure sensing garments
Abstract
A system uses pressure sensing garments attached to an impact test prosthesis to determine the position of a seat belt in an impact test. The pressure sensing garment is a surface or material configured to measure pressure applied to an impact test prosthesis during an impact test. The pressure sensing garment uses a capacitive sensor grid to measure the pressure applied to the impact test prosthesis. The system determines the position of the seat belt based on pressure data from the pressure sensing suit and various algorithms may be applied to automatically determine the angle and centerline of the seat belt based on the pressure data.
Inventors
- T. Russell
Assignees
- 艾森索科技公司
Dates
- Publication Date
- 20260512
- Application Date
- 20240823
- Priority Date
- 20230825
Claims (20)
- 1. A system for determining pressure sensing data to be applied to an impact test prosthesis during an impact test, the system comprising: in an environment in which a vehicle is configured to collide with the impact test prosthesis that is secured by a safety belt that spans the chest of the impact test prosthesis: the pressure sensing suit is configured to measure pressure applied to a chest of the impact test prosthesis during a collision, wherein the impact test prosthesis is attached to the pressure sensing suit and the safety harness is positioned over the pressure sensing suit, the pressure sensing suit comprising: a sensor grid comprising a plurality of sensors configured to measure pressure data, wherein the bump test prosthesis is configured such that the sensor grid is positioned to the chest of the bump test prosthesis, and A computer configured to: Receiving pressure data from the pressure sensing garment, and The position of the seat belt is determined based on the received pressure data.
- 2. The system of claim 1, wherein the pressure sensing garment is further configured to measure acceleration of the impact test prosthesis during the impact.
- 3. The system of claim 1, wherein the pressure sensing garment is further configured to measure pressure applied to a rear portion of the impact test prosthesis during the collision.
- 4. The system of claim 1, wherein the pressure sensing garment is a flexible panel applied to the chest of the impact test prosthesis.
- 5. The system of claim 1, wherein the pressure sensing garment is a vest.
- 6. The system of claim 1, wherein the pressure sensing garment is a shirt.
- 7. The system of claim 1, wherein the computer is further configured to apply a set of filters to the pressure data to isolate pressure data caused by the seat belt.
- 8. The system of claim 7, wherein the set of filters comprises low pressure filters.
- 9. The system of claim 1, wherein the computer is configured to calculate a center of pressure (COP) of the pressure data.
- 10. The system of claim 9, wherein the computer is configured to calculate an angle of the seat belt based on the COP of the pressure data.
- 11. The system of claim 10, wherein the computer is configured to calculate a centerline of the seat belt based on the COP of the pressure data and the angle of the seat belt.
- 12. The system of claim 11, wherein the computer is configured to calculate the centerline of the seat belt using a Convolutional Neural Network (CNN).
- 13. A method of determining a centerline of a seat belt using a pressure sensing garment, the method comprising: Receiving pressure data from a pressure sensing garment attached to an impact test prosthesis, wherein: the pressure sensing garment is configured to measure pressure applied to the chest of the impact test prosthesis during a collision, The pressure sensing garment includes a sensor grid including a plurality of sensors configured to measure pressure data, and The crash test prosthesis is bound by a safety harness into a vehicle configured to collide; applying a set of filters to the pressure data to isolate pressure data caused by the seat belt; calculating a center of pressure (COP) of the filtered pressure data; calculating the angle of the seat belt based on the COP, and A center line of the seat belt is calculated based on the COP and an angle of the seat belt.
- 14. The method of claim 13, wherein the pressure sensing garment is further configured to measure acceleration of the impact test prosthesis during the impact.
- 15. The method of claim 13, wherein the pressure sensing garment is further configured to measure pressure applied to a rear portion of the impact test prosthesis during the collision.
- 16. The method of claim 13, wherein the pressure sensing garment is a flexible panel applied to the chest of the impact test prosthesis.
- 17. The method of claim 13, wherein the pressure sensing garment is a vest.
- 18. The method of claim 13, wherein the pressure sensing garment is a shirt.
- 19. The method of claim 13, wherein calculating a centerline of the seat belt comprises calculating the centerline of the seat belt using a Convolutional Neural Network (CNN).
- 20. The method of claim 13, wherein applying a set of filters to the pressure data to isolate pressure data caused by the seat belt comprises applying a low pressure filter to the pressure data.
Description
Determining seat belt position using pressure sensing garments Cross Reference to Related Applications The application claims the benefit of U.S. provisional patent application No. 63/578,978, filed on 8/25 of 2023, which is incorporated herein by reference in its entirety. Technical Field The present disclosure relates generally to determining the position of a seat belt during an impact test, and more particularly to determining the position of a seat belt during an impact test using a pressure sensing garment. Background Impact testing is used to evaluate the ability of a vehicle to withstand a collision and to evaluate the potential injury to the vehicle occupants from the collision. Impact testing is typically performed by tying an impact test prosthesis into the vehicle with a safety harness. A collision with the vehicle occurs and damage to the vehicle and/or the impact test prosthesis is evaluated. Engineers may infer information about the collision based on how objects in the vehicle interact with the crash test prosthesis. For example, an engineer may evaluate where the airbag hits the impact test prosthesis or when the airbag deploys during a collision. The engineer may also evaluate the behavior of the safety belt restraining the impact test prosthesis, such as whether the safety belt is directly attached, twisted or buckled during a collision. Part of the engineer's analysis of the belt behavior may include determining the belt contact patch, i.e., the area where the belt contacts the chest of the impact test prosthesis. However, determining the belt contact patch is a difficult and often manual process involving expert analysis. Additionally, determining the belt contact patch may be subjective, such that different engineers may determine different belt contact patches. Disclosure of Invention A system uses pressure sensing garments attached to an impact test prosthesis to determine the position of a seat belt in an impact test. The pressure sensing garment is a surface or material configured to measure the pressure applied to the impact test prosthesis during the impact test. The pressure sensing garment uses a capacitive sensor grid to measure the pressure applied to the impact test prosthesis. The system determines the position of the seat belt based on pressure data from the pressure sensing garment and various algorithms may be applied to automatically determine the angle and centerline of the seat belt based on the pressure data. The system significantly improves the process for determining the position of the seat belt when the pressure applied by the seat belt is measured with the pressure sensing garment. The system provides an objective method of determining the position of the seat belt and eliminates the need to manually determine the centerline of the seat belt. Drawings Figure 1A is a block diagram illustrating an example system environment in accordance with some embodiments. FIG. 1B illustrates an example system environment for impact testing according to some embodiments. FIG. 2 is a block diagram illustrating an example computing server, according to some embodiments. Fig. 3A and 3B illustrate an example pressure sensing garment attached to the body of an impact test prosthesis according to some embodiments. Fig. 4 is a conceptual diagram illustrating a top view of an example capacitive sensor mesh in accordance with some embodiments. FIG. 5 illustrates an example grid of pressure measurements according to some embodiments. FIG. 6 is a flowchart depicting an example process for determining a centerline of a seat belt, in accordance with some embodiments. FIG. 7 is an example structure of a machine learning model according to some embodiments. FIG. 8 is a block diagram illustrating components of an example computing machine, according to some embodiments. The figures depict various embodiments for purposes of illustration only. Those skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles described herein. Detailed Description The figures and the following description relate to preferred embodiments by way of illustration only. It should be noted that alternative embodiments of the structures and methods disclosed herein will be readily identified as viable alternatives by the following discussion, which may be employed without departing from the principles of what is claimed. Reference will now be made in detail to several embodiments, examples of which are illustrated in the accompanying drawings. It is noted that where practical, similar or identical reference numerals may be used in the figures and may indicate similar or analogous functionality. The figures depict embodiments of the disclosed system (or method) for purposes of illustration only. Those skilled in the art will readily recognize from the following description tha