To robustly estimate three-dimensional behaviors of an occupant by fusing, through a particle filter, information obtained through vehicle indoor cameras and through vehicle internal information sensors, an occupant behavior estimation system includes: a camera configured to obtain images of the at least one occupant within the vehicle; sensors configured to obtain information on the vehicle; an image processing device configured to process images obtained from the camera and to obtain key point information of the at least one occupant and object tracking information that is provided by tracking the at least one occupant; and a vehicle safety controller configured to estimate the behaviors of the occupant by using a particle filter based on the information on the vehicle obtained through the sensors, the key point information and the object tracking information, which are obtained from the image processing device.

Determining head orientation and/or position of a vehicle occupant includes determining a first detection range for head orientations and/or positions of a first imagining sensor located in the vehicle interior based on various head orientations and/or positions in relation to the location of the first sensor, determining the second detection range of the second imaging sensor for head orientations and/or positions based on various head orientations and/or positions in relation to the position of the second sensor, and, based on the head orientation and/or position of the vehicle occupant, determining the head orientation and/or position with that sensor that has a detection range in which the head orientation and/or position can be better determined than in the detection range of another sensor.

A system includes a seat belt routing module and a user interface device (UID) control module. The seat belt routing module is configured to: determine a routing of a seat belt relative to an occupant in a vehicle seat based on input from a webbing payout sensor; and determine the seat belt routing based on an input from an in-cabin sensor. The in-cabin sensor includes at least one of a camera, an infrared sensor, an ultrasonic sensor, a radar sensor, and a lidar sensor. The UID control module is configured to control a user interface device to indicate that the seat belt is being worn improperly when: the seat belt routing determined using at least one of the webbing payout sensor and the in-cabin sensor is improper; and the seat belt routing determined using the webbing payout sensor corresponds to the seat belt routing determined using the in-cabin sensor.

A vehicle occupant detection system includes a housing. A microprocessor is mounted in the housing and is programmed to detect an engine engagement status of a vehicle. A camera is mounted on the housing and is directed forward of the housing. The camera electrically coupled to the microprocessor is programmed with facial recognition software to compare facial images against images captured by the camera. A motion sensor mounted on the housing detects motion forward of the housing. The camera captures an image when the motion sensor detects motion. A first condition is defined when the motion sensor detects motion, the camera captures an image prompting a facial recognition match and the microprocessor detects the vehicle is parked. A sound emitter is mounted on the housing and is electrically coupled to the microprocessor and emit a low decibel sound when the first condition is first attained.

The present specification relates to a method for controlling vehicle interior devices. More specifically, the method comprises the steps of: acquiring image data of a vehicle passenger located within a predetermined distance from a vehicle through an object detection device provided in the exterior of the vehicle; extracting body structure information about the body structure of the vehicle passenger from the image data by using a skeletonization-related deep learning algorithm; and when opening of a specific door of the vehicle is detected, controlling passenger seat-related interior devices corresponding to the specific door on the basis of the extracted body structure information.

A method for determining the posture of a driver of a vehicle. The vehicle includes a camera capable of generating a sequence of images of the position of the driver of the vehicle and an electronic control unit including a memory zone, in which a plurality of image processing masks is recorded, with each mask being associated with a predetermined posture of the driver in their seat. The method includes the camera generating a sequence of images of the position of the driver and sending the sequence of images to the electronic control unit, computing, by the electronic control unit, for each mask of the plurality of masks, the convolution product of the mask with at least one image of the sequence of images received from the camera in order to obtain a correlation coefficient, and determining the posture of the driver from the mask with the highest correlation coefficient.

A motor vehicle and a method secure a passenger in the motor vehicle in a collision. The motor vehicle has a seat including a seat body, which forms a seat surface, and a backrest connected to the seat body. An inertial force acting on the passenger in a collision is transmitted by a seatbelt arrangement to the backrest in such a manner that the latter pivots forwards relative to the seat body counter to the restoring effect of an elastic and/or plastic deformation of at least part of the backrest. A force which counteracts the pivoting-forwards action is generated by a force generator, and transmitted to the backrest, and/or the maximum pivoting path of the backrest is limited by a limiting device in that, when a predetermined reference acceleration is present, a deviation between a present pivoting path of the backrest and a predetermined reference pivoting path is minimized.

An apparatus comprises a first plurality of optical fibers embedded in a first plurality of fabric strands, a second plurality of optical fibers embedded in a second plurality of fabric strands, and a detector. The first plurality of optical fibers are positioned adjacent to each other and oriented along a first direction and the second plurality of optical fibers are positioned adjacent to each other and oriented along a second direction orthogonal to the first direction. The first and second plurality of optical fibers are configured to receive ambient light emitted onto them. The detector detects the light received into at least some of the first and second plurality of optical fibers and creates data configured to be processed to identify an object adjacent to the apparatus. The data is based on the light received into the first plurality of optical fibers and the second plurality of optical fibers.

For example, even when an occupant is seated offset in a left-right direction, an airbag is reliably expanded and deployed. An airbag device contains: an airbag that protects at least a side portion of a shoulder region, upper arm region, and chest region of an occupant seated on a vehicle seat; and an inflator that supplies gas to the airbag. The airbag has a pair of side part protection chambers that are housed on at least both left and right sides of the vehicle seat. The side part protection chambers, when expanded and deployed, expand and deploy forward independently from both left and right sides of the vehicle seat. A pair of the inflators are provided to allow gas to be supplied to each side part protection chamber, and the ignition timing of the inflators can be controlled separately.

An apparatus for operating an airbag of an autonomous vehicle may include: an interior image sensor configured to capture an interior image of a vehicle; an input unit configured to receive collision prediction information from an autonomous driving system and the interior image from the interior image sensor; an airbag module installed at the front and side of the interior of the vehicle, and configured to deploy an airbag; and an airbag control unit configured to estimate the sitting position and dynamic behavior of the passenger from the interior image inputted from the input unit, estimate a collision status from the collision prediction information, determine an airbag to be deployed and a time to deploy the airbag according to the sitting position, and then output a deployment signal to the airbag module.