Abstract: A vehicle includes at least one reconfigurable system having a plurality of selectively variable parameters, and a controller that is operatively connected to the at least one reconfigurable system to control the values of the plurality of selectively variable parameters. The controller is also configured to receive data indicative of physical characteristics of a person from at least one data storage medium, and configured to determine values of the selectively variable parameters according to a predetermined algorithm based on the data indicative of physical characteristics of a person. The controller is also configured to cause the selectively variable parameters to assume the determined values.

Abstract: In an exemplary embodiment a system provides vehicle information to an operator of a vehicle having a plurality of components. The system comprises an onboard database configured to store vehicle-specific data and behavior-specific data and an operator interface. The system includes an onboard processor coupled to the onboard database, the plurality of components, and the operator interface. The onboard processor is configured to provide requested vehicle-specific data to the operator in response to an operator request via the operator interface. The onboard processor is also configured to receive operator-behavioral data from the plurality of components, recognize patterns of operation from the operator-behavioral data, and provide the behavior-specific data to the operator in response to the recognized patterns in the operator-behavioral data.

Abstract: A method and system for automatically adjusting a driver seat, steering wheel, pedals, mirrors, and other components of a vehicle, based on information about the size of the driver. The method uses basic information about the driver's size—including standing height, sitting height, and gender—in a model which estimates all anthropometric data for the driver. The anthropometric data for the driver—including upper and lower arm and leg lengths, torso length, and other dimensions—is used in inverse kinematic calculations to determine optimal positions and orientations for the adjustable components of the vehicle's cockpit. The method then pre-adjusts the components before the driver enters the vehicle, and makes compatible adjustments to the mirrors and other components if the driver adjusts the driver seat.

Abstract: A method and system for recognizing and verifying the identity of a driver and front seat passenger of a vehicle. A vehicle owner uploads profile data for several individuals who may be a driver or passenger to a database in the vehicle. When a driver or passenger enters the vehicle, the system uses the profile data—which can include height, weight, and gender information about the individual—along with vehicle data such as seat position, to identify the driver or passenger from the database. The profile data for the known individual is then used to adjust the position of the seat and other components in the cockpit. The profile data is also used by various safety and convenience systems onboard the vehicle.

Abstract: A seat assembly for a vehicle includes a lower seat portion and a seatback portion. The seatback portion is selectively movable to vary the reclination angle of the seatback portion. The seat assembly is configured so that a first part of the lower seat portion rises relative to a second part of the lower seat portion so that the lower seat portion acts as an occupant restraint when a predetermined condition exists. Exemplary predetermined conditions include the reclination angle changing, the reclination angle exceeding a predetermined amount, and conditions indicative of an elevated risk of vehicle impact.

Abstract: In an exemplary embodiment a system provides vehicle information to an operator of a vehicle having a plurality of components. The system comprises an onboard database configured to store vehicle-specific data and behavior-specific data and an operator interface. The system includes an onboard processor coupled to the onboard database, the plurality of components, and the operator interface. The onboard processor is configured to provide requested vehicle-specific data to the operator in response to an operator request via the operator interface. The onboard processor is also configured to receive operator-behavioral data from the plurality of components, recognize patterns of operation from the operator-behavioral data, and provide the behavior-specific data to the operator in response to the recognized patterns in the operator-behavioral data.

Abstract: A system and method for classifying the optimization of safety features on a vehicle for a vehicle passenger based on the passenger seating position and passenger body mass index. The method includes determining a number of basic passenger sizes based on the passenger height and mass and determining a number of passenger seating positions. The method further includes identifying a set of tunable design variables that are used to adjust the vehicle safety features, and performing design optimization analysis for identifying optimal designs, called basic optimal designs, for the vehicle safety features for each of the basic passenger sizes and the predetermined seating positions.

Abstract: A synchronized rear vision system for a vehicle includes a pair of external side rearview mirrors for attachment to the vehicle and an interior rearview mirror for attachment to the vehicle. The synchronized rear vision system also includes a system master controller for detecting an instantaneous position of one of the side rearview mirrors and calculating position output signals for at least another one of the side rearview mirrors and the interior rearview mirror to automatically position at least the another one of the side rearview mirrors and the interior rearview mirror based on the instantaneous position. The synchronized rear vision system may include a controller to readjust the position of the rearview mirrors based on a position of a driver seat of the vehicle.

Abstract: A vehicle includes at least one reconfigurable system having a plurality of selectively variable parameters, and a controller that is operatively connected to the at least one reconfigurable system to control the values of the plurality of selectively variable parameters. The controller is also configured to receive data indicative of physical characteristics of a person from at least one data storage medium, and configured to determine values of the selectively variable parameters according to a predetermined algorithm based on the data indicative of physical characteristics of a person. The controller is also configured to cause the selectively variable parameters to assume the determined values.

Abstract: A hood elevation system for a vehicle includes an actuator configured to selectively move at least a portion of a vehicle hood between an elevated and a retracted position. The hood elevation system also includes a motor and a spring. The spring biases the hood toward its elevated position, and the motor is configured to retract the hood, thereby compressing the spring.

Abstract: A headrest positioning system for automatically adjusting the position of a headrest of a vehicle seat. The headrest can be a power headrest that is part of a power seat system, where the position of the headrest can be preset by a seat occupant with the other positions of the seat in a memory function. The system includes a seat occupant sensing system that senses the position of the seat occupant's head, eyes or other facial features to determine a desired position of the headrest. The system compares the actual position of the headrest to the desired position, and automatically adjusts the position of the headrest to the desired position. In one embodiment, an imaging system determines the position of the seat occupant's head. In another embodiment, the system determines the position of seat occupant's eyes based on the position of the driver side mirror.

Abstract: A method is disclosed for managing variation in acceleration values obtained from a vehicle acceleration sensor for use in on-board computer based crash evaluation algorithm. Sources contributing to the variation are identified and a determination is made of the magnitude of the variation from each source to a selected multiple of a standard deviation, for example, 3 to 6 ?. The variation for each source is suitably combined to produce a database of acceleration-time history with the combined variations for use in calibrating and or validating a candidate crash algorithm.

Abstract: A method for continuous collision severity prediction, the method comprising receiving vehicle acceleration data. A collision event is detected in response to receiving the vehicle acceleration data and to the acceleration data. A collision mode is determined in response to detecting the collision event. Input to the collision mode determination includes the acceleration data. A collision severity value responsive to the acceleration data and the collision mode is calculated. The collision severity value corresponds to a percentage inflation level of an airbag.

Abstract: A method is disclosed for managing variation in acceleration values obtained from a vehicle acceleration sensor for use in on-board computer based crash evaluation algorithm. Sources contributing to the variation are identified and a determination is made of the magnitude of the variation from each source to a selected multiple of a standard deviation, for example, 3 to 6 &sgr;. The variation for each source is suitably combined to produce a database of acceleration-time history with the combined variations for use in calibrating and or validating a candidate crash algorithm.

Abstract: A computer based method for activating a vehicular safety device for passenger protection is disclosed. The method uses a centrally located front-end acceleration sensor and a passenger compartment sensor. When a crash situation is sensed, current acceleration data is integrated to produce velocity values for both sensor locations. Actual displacement values for the front-end sensor are calculated as well as displacement values based on absolute values of acceleration of that sensor. The velocity and displacement values are selectively used in at least three vehicle crash mode analyses. Examples of such crash modes are full frontal-like modes, pole-like modes and angle-like modes. When appropriate threshold values are exceeded, device activation for one or more activation stages is initiated.

Abstract: A computer based method for activating a vehicular safety device for passenger protection is disclosed. The method uses two front-end acceleration sensors and a passenger compartment sensor. When a collision situation is sensed, current acceleration data is integrated to produce velocity and displacement values for the sensor locations. The velocity and displacement values are selectively used in at least three vehicle collision mode analyses. Examples of such collision modes are a full frontal mode, an angle mode and an offset deformable barrier mode. Each collision mode has sub-modes corresponding to the desired levels of airbag inflation. When appropriate threshold values are exceeded, device activation for one or more activation stages is initiated.

Abstract: A computer based method for activating a vehicular safety device for passenger protection is disclosed. The method uses two front-end acceleration sensors and a passenger compartment sensor. When a collision situation is sensed, current acceleration data is integrated to produce velocity and displacement values for the sensor locations. The velocity and displacement values are selectively used in at least three vehicle collision mode analyses. Examples of such collision modes are a full frontal mode, an angle mode and an offset deformable barrier mode. Each collision mode has sub-modes corresponding to the desired levels of airbag inflation. When appropriate threshold values are exceeded, device activation for one or more activation stages is initiated.

Abstract: A method for continuous collision severity prediction, the method comprising receiving vehicle acceleration data. A collision event is detected in response to receiving the vehicle acceleration data and to the acceleration data. A collision mode is determined in response to detecting the collision event. Input to the collision mode determination includes the acceleration data. A collision severity value responsive to the acceleration data and the collision mode is calculated. The collision severity value corresponds to a percentage inflation level of an airbag.

Abstract: A computer based method for activating a vehicular safety device for passenger protection is disclosed. The method uses a centrally located front-end acceleration sensor and a passenger compartment sensor. When a crash situation is sensed, current acceleration data is integrated to produce velocity values for both sensor locations. Actual displacement values for the front-end sensor are calculated as well as displacement values based on absolute values of acceleration of that sensor. The velocity and displacement values are selectively used in at least three vehicle crash mode analyses. Examples of such crash modes are full frontal-like modes, pole-like modes and angle-like modes. When appropriate threshold values are exceeded, device activation for one or more activation stages is initiated.