Abstract: A computer implemented method of managing construction of a steel building frame is disclosed, including defining a part database including beams, columns, and components of a full moment collar assembly, storing historical pricing data for the parts in the part database, and creating a station layout for a steel fabrication facility and receiving digital. The method further includes receiving digital models of a plurality of buildings, each including a steel frame having beams and columns connected by full moment collar assemblies, and parsing the received digital models to generate a list of parts in the plurality of buildings a defined in the part database. The method further includes generating routes and stages for the beams, the columns, and the components of the full moment collar assemblies through the stations of the steel fabrication facility, and modifying the digital model of at least one of the plurality of buildings to improve efficiency of the generated routes and stages.

Abstract: A method for determining an occupant class for a vehicle seat includes obtaining, via first and second seat weight sensors, first and second seat weight indications for the vehicle seat. The first seat weight sensor is located on the lateral side of the vehicle seat at a front location on the vehicle seat. The second seat weight sensor is located on the lateral side of the vehicle seat at a rear location on the vehicle seat. The method also includes obtaining a vehicle acceleration value from a vehicle acceleration sensor. The method also includes determining a raw weight on the vehicle seat as twice the sum of the first and second seat weight indications, and determining a filtered weight based on the raw weight. The method further includes determining the occupant class based on the filtered weight in response to the vehicle acceleration value being less than a predetermined value.

Abstract: A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

Abstract: A computer implemented method of managing construction of a steel building frame is disclosed, including defining a part database including beams, columns, and components of a full moment collar assembly, storing historical pricing data for the parts in the part database, and creating a station layout for a steel fabrication facility and receiving digital. The method further includes receiving digital models of a plurality of buildings, each including a steel frame having beams and columns connected by full moment collar assemblies, and parsing the received digital models to generate a list of parts in the plurality of buildings a defined in the part database. The method further includes generating routes and stages for the beams, the columns, and the components of the full moment collar assemblies through the stations of the steel fabrication facility, and modifying the digital model of at least one of the plurality of buildings to improve efficiency of the generated routes and stages.

Abstract: A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications in response to a crash event. The method also includes classifying the crash event in response to comparing the sensed crash event indications against one another to identify an oblique moving deformable barrier crash event. The method further includes controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A method for determining an occupant class for a vehicle seat includes obtaining, via first and second seat weight sensors, first and second seat weight indications for the vehicle seat. The first seat weight sensor is located on the lateral side of the vehicle seat at a front location on the vehicle seat. The second seat weight sensor is located on the lateral side of the vehicle seat at a rear location on the vehicle seat. The method also includes obtaining a vehicle acceleration value from a vehicle acceleration sensor. The method also includes determining a raw weight on the vehicle seat as twice the sum of the first and second seat weight indications, and determining a filtered weight based on the raw weight. The method further includes determining the occupant class based on the filtered weight in response to the vehicle acceleration value being less than a predetermined value.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications in response to a crash event. The method also includes classifying the crash event in response to comparing the sensed crash event indications against one another to identify an oblique moving deformable barrier crash event. The method further includes controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications, classifying crash events in response to the sensed crash event indications to identify at least one of a forward rigid barrier crash event, an offset deformable barrier crash event, an angular crash event, and a small overlap crash event, and controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A method for controlling an actuatable restraining device includes sensing a plurality of crash event indications, classifying crash events in response to the sensed crash event indications to identify at least one of a forward rigid barrier crash event, an offset deformable barrier crash event, an angular crash event, and a small overlap crash event, and controlling deployment timing of the actuatable restraining device in response to the classification of the crash event.

Abstract: A process for adjusting the zero point of a system (10) for sensing weight on a seat (12) of a vehicle includes the steps of correcting only negative zero points errors during an ignition cycle of the vehicle and correcting positive zero point errors after the vehicle ignition cycle ends.

Abstract: A method (60) for adjusting a sensed load W(s)of a vehicle seat weight sensing system (10) includes the step (64) of determining a rate of change {dot over (W)}(t),{dot over (W)}avg in the sensed load. The method (60) also includes the step (66) of determining the likelihood of drift in the sensed load W(s) in response to the determined rate of change {dot over (W)}(t),{dot over (W)}avg.

Abstract: A method (60) for adjusting the zero point of a vehicle seat weight sensing system (10) includes the step of determining a zero point error (64) of the seat weight sensing system. The method (60) also includes the step of adjusting the zero point error (68) in response to determining that the zero point error was influenced by an object on the vehicle seat.

Abstract: A method and apparatus (40) for testing an occupant position sensing system (12) of a vehicle (10) includes a motor (42) having a stationary portion (44) and a movable portion (46). A test object (90) is fixed relative to the movable portion (46) of the motor (42). A motor position sensor (64) senses a position of the movable portion (46) of the motor (42) relative to the stationary portion (44) and for providing a motor position signal indicative thereof. Motor drive electronics (58) are responsive to the motor position signal for controlling the motor (42) for moving the test object (90). A data recorder (80) is adapted to receive and record data from the occupant position sensing system (12) and is adapted to receive and record the motor position signal provided by the motor position sensor (64).

Abstract: An apparatus and method for controlling an actuatable occupant protection system (40) in a passenger compartment (12) of a vehicle (10) includes a camera (72) configured for obtaining an image of a viewable field (78) within the passenger compartment (12) of the vehicle (10). At least one pattern (84, 86) is associated with vehicle structures (22, 24, 26) located within the viewable field (78). The portions of the obtained image associated with vehicle structures (22, 24, 26) having the pattern (84, 86) are removed from the image so as to obtain information regarding occupancy of the viewable field (78). The actuatable occupant protection system (40) is controlled in response to the obtained occupancy information.