Method for controlling output of a classification algorithm
AssigneeAutomotive Technologies International, Inc.
InventorsDavid S. Breed, Tie-Qi Chen, Ray Piirainen
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AssigneeAutomotive Technologies International, Inc.
InventorsDavid S. Breed, Tie-Qi Chen, Ray Piirainen
Estimating the term…
Method for controlling output of a classification algorithm which classifies an occupant of a seat including initially classifying the occupant and outputting the classification, subsequently periodically classifying the occupant and enabling a change in the classification of the occupant only upon obtaining evidence of a new classification which is greater than evidence of the current classification. The initial classification of the occupant may be conducted based on satisfaction of a condition such as the detection of closure of a door by, e.g., a sensor such as a door closure sensor, the detection of an empty seat by, e.g., an occupant presence sensor, weight sensor, electric field sensor, wave sensor, camera and the like, the detection of the switching on of the vehicle ignition by an appropriate sensor, motion or the absence of motion of the vehicle.
A method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle, comprising:
A method for controlling output of a classification algorithm which classifies an occupant of a seat, comprising:
A method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle, comprising:
A method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle, comprising:
A method for controlling output of a classification algorithm which classifies an occupant of a seat, comprising:
A method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle, comprising:
Dependencies are inferred from the claim text.
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Passenger detection systems: using force or pressure sensing means
Passenger detection systems: using field detection presence sensors
Vehicle fittings and parts
Term ended 14 Dec 2023 (estimated)
The present invention relates to the design, creation and use of an algorithm for controlling classification of a vehicle occupancy detection system.
Vehicles currently include various systems whose operation depends on the occupancy of the vehicle. For example, it has been known for some time that an occupant restraint or protection device can be designed to deploy differently depending on the type of occupants to be protected by the device (see for example, U.S. Pat. No. 5,829,782 (Breed et al.)). A classification of the occupancy of the vehicle is therefore desired in order to optimize the deployment of the occupant protection device.
Moreover, it is known that the position of the occupant can also affect the operation of various systems in the vehicle, most importantly, the occupant protection device (see, for example, U.S. Pat. No. 5,653,462 (Breed et al.)). Determination of the position of the occupant is therefore desired to optimize the deployment of the occupant protection device.
The following drawings are illustrative of embodiments of the invention and are not meant to limit the scope of the invention as encompassed by the claims.
FIG. 1 is a flow chart of the manner in which one embodiment of the algorithm in accordance with the invention operates.
FIG. 2 is a flow chart showing the manner in which another embodiment of the algorithm in accordance with the invention operates.
Referring to the accompanying drawings wherein the same reference numerals refer to the same or similar elements, FIG. 1 shows an algorithm for controlling changes in a classification process performed by a system in a vehicle which requires that the occupants of the vehicle be classified.
This algorithm functions based on the satisfaction of a condition such as closure of a door as represented at 10. When closure of the door is detected, a data set is obtained from sensors used in the classification process at 12 and the seat occupancy is determined at 14. A variable n is set to 1 at 16, this variable will be used to count the number of times the seat occupancy is classified the same. A new data set is obtained from the sensors at 18 and the seat occupancy is determined at 20. A determination is made whether the new classification is the same as the immediately previous classification at 22. If so, the variable n is increased by 1 at 24 and a new data set is obtained from the sensors at 18 and the seat occupancy is determined from the new data set at 20. Thus, the variable n will represent the number of times that data sets provide the same seat occupancy classification.
Sensors at 18 may be any type of occupant sensors including but not limited to all types of weight sensors, capacitance based sensors, electric field based sensors, radar or any other electromagnetic wave or electric field based sensors, camera based sensors including 3D sensors, ultrasonic based sensors, etc.