Gm Global Technolgoy Operations, Inc.

Other

Orhan Demirovic

Scott David Thomas

Dorel M Sala

Tricia E Morrow

Eugene J Lau

Jaywan Kim

Suzanne L Johansson

Thomas P Deming

Carl N Schaub

Mingyang Yang

Bongkyu Park

Orhan Bulan

Mohannad F Murad

David Hahn Clifford

Sean T Coughlin

David J Hiemenga

Eric Hatfield

Carolyn M Mavis

Chad M O'Brien

Hong Tang

Patricia A Mccown

Alicia Bidwell

A child restraint seat sensing device for a vehicle including a structural element at least partially defining a volume, wherein the structural element is located in a vehicle passenger seat between a seat base and seat back or is located behind the vehicle passenger seat, a stationary anchor in the vehicle, wherein the stationary anchor is located within the volume defined by the structural element, and a sensor mounted to the structural element, wherein the sensor is configured to detect whether a child restraint seat connector is attached to the stationary anchor.

Lower and upper latch anchor use detection sensing device

An occupant classification system comprises a capacitive sensor configured to measure capacitance. The capacitive sensor is at least partially arranged between a seat frame and at least one of a seat cover and a seat cushion of a seat. A sensor is configured to measure at least one of weight and pressure on the seat. The sensor is at least partially arranged between a vehicle structure and a component of the seat. A controller is configured to generate an occupant classification based on the measured capacitance and the at least one of the measured weight and the measured pressure on the seat.

Occupant classification system with pressure or weight and capacitance sensing

A system includes a first webbing payout sensor and a seatbelt wear condition module. The first webbing payout sensor can detect a first webbing payout of a seatbelt associated with a seat of a vehicle. The first webbing payout is a first length of webbing of the seatbelt dispensed from a first retractor of the seatbelt. The seatbelt wear condition module can identify whether the seatbelt is worn correctly based on the first webbing payout. The system may further include a second webbing payout sensor that detects a second webbing payout of the seatbelt associated with the seat. The second webbing payout is a second length of webbing of the seatbelt dispensed from a second retractor of the seatbelt. The seatbelt wear condition module identifies whether the seatbelt is worn correctly based on the first webbing payout and the second webbing payout.

System and method for determining whether a seatbelt is used incorrectly, and for taking corrective action when the seatbelt is used incorrectly

A system to limit adjustment capabilities of a vehicle seat, the system including: a controller; a camera located in a vehicle configured to record images of a visual content, where the visual content is at least a portion of the vehicle seat; the vehicle seat being capable of being remotely controlled to be adjusted between an upright arrangement and a folded arrangement; a sensor configured to produce an output when a seatbelt tongue is inserted into a corresponding seatbelt buckle; where executable instructions enable the controller to: operate the camera to record images of the visual content; determine whether an object exists in the visual content; determine whether the sensor has produced an output; and when at least one object exists in the visual content or the sensor has produced an output, limit the vehicle seat adjustment capabilities such that the vehicle seat is restricted to the upright arrangement.

System and method to restrict vehicle seat movement

A system for rating a rider of a shared autonomous vehicle (SAV) may include an image reception module, an image comparison module, an object determination module, and a passenger rating module. The image reception module may be configured to obtain first and second images of a cabin of the SAV at different times. The image comparison module may be configured to compare the first image with the second image to provide comparison data. The object determination module may be configured to (i) identify an object in the cabin of the SAV based on the comparison data and (ii) classify the identified object as a particular type of object to provide a classified object. The passenger rating module may be configured to adjust a rider rating associated with the rider based on the classified object.

Rider rating systems and methods for shared autonomous vehicles

A method and apparatus for providing a seatbelt reminder are provided. The method includes determining whether a seat is occupied, in response to determining that the seat is occupied, determining whether a seatbelt corresponding to the seat is buckled, in response to determining that the seatbelt corresponding to the seat is unbuckled, determining whether a latch anchor corresponding to the seat is engaged, and in response to determining that the latch anchor corresponding to the seat is unengaged, outputting a seatbelt reminder notification.

Method and apparatus for providing seatbelt notifications

A method and apparatus for detecting and classifying objects associated with a vehicle are provided. The method includes capturing a first image and a second image of a cabin of a vehicle, dividing the first image and the second image into a plurality of regions, comparing a first region of the first image to a second region of the second image, in response to detecting a difference between the second region and the first region, classifying an object present in the difference between the second region and the first region and labeling the classified object, and providing a notification of the classified object to at least one from among an occupant of the vehicle and an operator of the vehicle.

Method and apparatus for detecting and classifying objects associated with vehicle

A method and apparatus for detecting airbag deployment are provided. The method includes: detecting air pressure information corresponding to air pressure inside a vehicle cabin; determining whether a value corresponding to the air pressure information is greater than a predetermined value; and performing a function in response to determining that the value is greater than the predetermined value.

Method and apparatus for detecting airbag deployment

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Sterling Heights, MI, United States of America

Orhan Demirovic