Siemens Aktiengesellschaft

Siemens Vdo Automotive Corporation

Continental Automotive Gmbh

Continental Automotive Systems Us, Inc.

Siemens Vdo Automotive Ag

Gerd Winkler

Andreas Knueppel

Gerald Schicker

Tobias Tyroller

Robert M Andres

Gerhard Wild

Erwin Hetzenecker

Thomas J Malbouef, Jr

Arnulf Pietsch

Michael Krempl

Peter Karges

Mathias Büchel

Reinhard Schmid

Bernhard Pfeffer

A vehicle occupant classification system categorizes vehicle occupants into various classes such as adult, child, infant, etc. to provide variable control for a vehicle restraint system such as an airbag. The classification system utilizes sensors that are installed in various locations in the vehicle. The sensors are used to generate a three-dimensional profile for the vehicle occupant. Various factors can affect the accuracy of this three-dimensional profile. Fuzzy logic is used to reduce some of the inaccuracies by providing multiple decision levels for various stages of the classification. Inaccuracies are also caused by sensors shifting within the system from their original position. This condition creates offset and the system evaluates this offset and generates a correction factor to provide a more accurate three-dimensional profile. Electrically erasable programmable read-only memory is used to reduce complications and inaccuracies associated with seat occupant weight sensors that have mounting configurations that vary depending upon the vehicle.

Vehicle occupant weight classification system

The recognition of seat occupancy of a seat is achieved by recording at least one measured signal by way of a seat occupancy sensor. The measured signal is allocated a weight signal by way of an allocation rule, which is representative of a weight with which the seat is occupied. The allocation rule is altered when the weight signal over the course of time is first greater than a given upper threshold and when further, during a given first duration the weight signal lies in a first weight range at a weight zero value. The allocation rule is altered such that the then current measured signal is allocated the weight signal reduced by a given percentage from the weight signal. The allocation rule is further altered when the weight signal lies around the weight zero value in a given second weight range during a given second duration, which is much longer than the first duration. The allocation rule is altered such that the then current measured signal is allocated a weight signal reduced by a given correction value.

Method and device for recognition of the seat occupancy of a seat

A device and a method for differentiating between a person sitting on the seat surface of a vehicle seat and an object such as, for example, a child seat. The device has a cushion provided with weight sensors which are distributed over the seat surface in a plane manner, first weight sensors being arranged in a central region and second weight sensors being arranged on the edge of the seat surface. At least one central weight sensor is differentiated from a plurality of second weight sensors on the edge of the seat surface in that it always emits a comparatively low sensor signal when subjected to the same weight load.

Device and method for differentiating between a person and an object on a motor vehicle seat using multiple sensors

In an occupant detection or classification system for a motor vehicle, a sensor mat () measures the pressure or pressure distribution on a seating surface. A control unit () receives the signals from the sensor mat () representing an occupancy of the vehicle seat. The temperature of the foam core () underlying the seating surface is measured at a location other than in the center of the foam core and, specifically, at the control unit ().

System and method for occupant detection and classification in motor vehicles

A method and a device allow to detect and optionally to indicate the improper use of a seat. For this purpose, an estimated value of a variable characteristic of a mass that rests on a seating area of a seat is determined depending on at least one force that acts upon the seating area and that is detected by one or more force sensors. The estimated value is found to be reliable or unreliable depending on the oscillation behavior of the measured signal of the at least one force sensor.

Method and device for determining a variable characteristic of a mass that rests on the seating area of a seat

A distributed sensing system and method improves sensing of events that may require restraint deployment in a vehicle by distinguishing between deployment events and non-deployment events using data from more than one sensor. A transmission check process continuously monitors an incoming signal from a sensor and counts the number of data samples that exceed a selected value using a counter. If the counter value exceeds a selected threshold, the system indicates that the transmission check is fulfilled and allows deployment of the restraint. A correlation acceleration difference (CAD) algorithm calculates a CAD term corresponding to a degree of intrusion of a foreign object into a vehicle at a given time. Acceleration data from sensors disposed at supporting sides of the vehicle are checked if they respond to an event, and the absolute values of the acceleration data are subtracted from each other to obtain an absolute difference from which the CAD term is calculated. A method of reducing runtime in a system algorithm prioritizes calculations so that they are conducted on the side having the higher likelihood of having conditions requiring restraint deployment. Prioritizing calculations may also avoid refiring on a side that has already deployed a restraint, reducing the total number of calculations that the system needs to conduct. A method of evaluating a plausibility that a fire decision from a given sensor is the result of an event necessitating deployment of a restraint includes a plausibility check that checking the states of other sensors in the system before issuing a restraint firing request. The specific terms used in the plausibility check can be adjusted to accommodate different vehicle hardware configurations, vehicle setups and requirements.

Vehicle passenger restraint system with distributed sensors

An air bag system () provides a central controller (), a multiple of satellite sensors () and a multiple of deployable air bags (). The central controller () runs the impact event algorithms. The number of satellites which are allowed to activate algorithms at any one time is limited. The minimum number of satellites required for full protection is the maximum number of satellite sensors allowed to wake up an impact event algorithm at any one time. An order for algorithm wake is also specified since the number of algorithms allowed is less than the total number of satellite sensors.

Multiple-satellite sensors algorithm wake up and reset strategy for an inflatable restraint system

Multiple-satellite sensor algorithm wake up and reset strategy for an inflatable restraint system

Sensors are mounted within a seat structure for measuring seat occupant weight. The sensors can be mounted in any one of various sensor configurations. So that common hardware can be used for each different sensor configuration, a virtual matrix is created and output from the sensors is mapped into the virtual matrix. The virtual matrix includes virtual cell locations that do not have a corresponding sensor output; i.e., there are fewer physical cells (sensors) than virtual cell locations in the virtual matrix. A weight output signal from each sensor is mapped into the corresponding position in the virtual matrix and the remaining virtual cell locations have values assigned to them based on data supplied by the surrounding physical cells. Seat occupant weight is determined based on output from the virtual matrix and the occupant is placed into one of the various occupant classifications. Deployment force of a restraint system is controlled based on the classification of the seat occupant.

Hardware independent mapping of multiple sensor configurations for classification of persons

A sensor configuration for measuring the local distribution of a measured variable has a plurality of sensor elements which are disposed in a distributed fashion and interconnected in an array. An electric response of the sensor elements is a function of the local value of the measured variable. At least one of the sensor elements has a series circuit composed of a series element which is independent of the value of the measured variable and a measuring element which is dependent on the value of the measured variable.

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Wuppertal, Germany

Gerd Winkler