A vehicular vision system includes an electronic control unit (ECU) disposed at a vehicle and including an image processor that processes image data captured by at least one camera of the vehicle. An under-trailer camera is disposed at an underside of a trailer hitched to the vehicle. The under-trailer camera has a field of view under the trailer that includes a ground surface under the trailer that is traveled over by the trailer. The under-trailer camera captures image data as the vehicle and trailer are moving. The ECU, responsive to processing of image data captured by the under-trailer camera, detects an object under the trailer and determines that the detected object under the trailer is greater than a threshold size. The ECU, responsive to determination that the detected object under the trailer is greater than the threshold size, generates an output.

A vehicle is configured to transport a passenger through autonomous travel. The vehicle includes an in-vehicle camera configured to image the passenger to generate an image, a camera controller configured to control the in-vehicle camera, and a passenger information detection unit configured to detect information about the passenger. The passenger information detection unit measures the number of passengers and the camera controller stops an operation of the in-vehicle camera in a case where the number of passengers is one.

Computer implemented method for detecting an occupancy of a seat, comprising capturing, by means of an imaging device, a first image of a seat, the image comprising depth data, determining, by means of a processing device, a first height profile along a first line in the first image from the depth data, and comparing, by means of the processing device, the first height profile with a first reference height profile taken along the same first line to determine whether the seat is occupied.

Performing object localization inside a cabin of a vehicle is provided. A camera image is received of a cabin of a vehicle by an image sensor at a first location with respect to a plurality of seating zones of a vehicle. Object detection on the camera image is performed to identify one or more objects in the camera image. A machine-learning model trained on images taken at the first location is utilized to place the one or more objects into the seating zones of the vehicle according to a plurality of bounding boxes corresponding to the plurality of seating zones for the first location.

A method for operating an occupant protection device of a vehicle involves triggering an occupant protection mechanism, in the event of an imminent detected collision for the vehicle or of a detected collision of the vehicle. The triggering also depends upon detected image data of at least one interior camera of the vehicle and the triggering can be suppressed based on the detected image data of the interior camera.

A vehicle includes a floor and a seat supported by the floor. The seat is translatable relative to the floor along a longitudinal axis of the vehicle. An airbag housing is supported by the floor and is disposed alongside the seat. The airbag housing is translatable relative to the floor along the longitudinal axis. An airbag is supported by the airbag housing. The airbag is inflatable to an inflated position that extends from the airbag housing away from the floor.

A device for protecting a person standing in a motor vehicle comprises numerous airbags installed in a motor vehicle, a scanner for determining where there is empty space adjacent to the person, and a control unit that is configured to only deploy those airbags that inflate into the empty space that has been determined.

Disclosed is a system for controlling a vehicle safety device, the system including: a vehicle safety device configured to protect an occupant; a first occupant detection unit configured to detect a position of the occupant's movable body part; a second occupant detection unit configured to detect a position of the occupant's body part fixed to the safety device; a calculation unit configured to calculate information on the occupant's behavior in the event of a collision accident of a vehicle based on the position of the occupant's movable body part detected by the first occupant detection unit and the position of the occupant's body part fixed to the safety device detected by the second occupant detection unit; and a control unit configured to control an operation of the vehicle safety device for protecting the occupant based on the information on the occupant's behavior calculated by the calculation unit.

A method for manufacturing a webbing (20) for a seat belt system in a vehicle comprises the following steps of: weaving the webbing (20) using a first yarn (30) and a second yarn (32), the first yarn (30) and the second yarn (32) reflecting light in the spectrum invisible to humans with different intensity, wherein the first and second yarns (30, 32) form a pattern (36), and overdying the webbing (20) so that the webbing (20) reflects light in the spectral range visible to humans in such a way that it has a homogenous appearance for humans. Moreover, such a webbing (20) and a vehicle comprising such a webbing (20) are provided.

A vehicle occupant monitoring device for a vehicle is configured to monitor an occupant sitting on a seat provided in a vehicle and includes a light projector, an imaging device, and a processor. The light projector is configured to project light toward the occupant sitting on the seat. The imaging device is configured to capture an image of the occupant sitting on the seat. The processor is configured to control the light projector and the imaging device to capture the image of the occupant sitting on the seat. In a case where a collision of the vehicle is predicted, the processor causes the light projector to radiate intense light toward a head of the occupant to be imaged by the imaging device.