Gm Global Technolgoy Operations, Inc.

Magna Electronics Inc.

Veoneer Us, Inc.

Caroline Chung

Mitchell Pleune

Wende Zhang

Fred W Huntzicker

Mohannad F Murad

Thomas Herbert

Trinten Patten

Alexandru Orban

Christopher Corral

Thomas A Seder

Timothy J Talty

Mohammad Naserian

Norman Joseph Weigert

Allan K Lewis

Duane S Carper

Robert Alan Dziurda

Michael T Chaney, Jr

Joel P Ruschman

Frank W Meinert

Veronique C Prinet

Afrah Faiz Naik

Afrah Naik

Frank Judge

Riley Paxton

Varun Garg

Matthew Parker

An intoxication detection system of a vehicle includes: a passive breath sensor configured to measure an amount of an intoxicant present within a passenger cabin; a camera configured to capture images including a driver on a driver's seat within the passenger cabin; a radar sensor configured to output radar signals toward the driver's seat and receive signals reflected back to the radar sensor; a baseline module configured to determine baseline parameters for the driver based on images from the camera and the signals received by the radar sensor; and an intoxication indication module configured to output an indicator that the driver is intoxicated when both (a) the amount of the intoxicant is greater than or equal to a predetermined amount and (b) at least one present parameter of the driver is different than a respective one of the baseline parameters for the driver by at least a predetermined amount.

Multi-sensor intoxication detection

A camera measurement module is configured to determine first measurements of an occupant of a seat based on an image captured using a camera within the passenger cabin of the vehicle. A radar measurement module is configured to determine second measurements of the occupant of the seat within the passenger cabin of the vehicle based on radar signals from a radar sensor, A measurement module is configured to determine third measurements of the occupant of the seat within the passenger cabin based on at least one of: the first measurements of the occupant of the seat; and the second measurements of the occupant of the seat. An actuator control module is configured to selectively actuate an actuator of a restraint associated with the seat based on the one or more third measurements of the occupant of the seat.

Multi-sensor body measurement detection and restraint control

An intoxication detection system of a vehicle includes: a passive breath sensor configured to measure an amount of an intoxicant present within a passenger cabin of the vehicle; a camera configured to capture images including a driver on a driver's seat within the passenger cabin of the vehicle; an intoxication indication module configured to: selectively determine that the driver is intoxicated when the amount of the intoxicant is greater than or equal to a predetermined amount of the intoxicant; trigger performance of a test to confirm whether the driver is intoxicated when the amount of intoxicant is greater than or equal to the predetermined amount of the intoxicant; and selectively indicate that the intoxication of the driver is confirmed when nystagmus is detected in the driver based on images from the camera during performance of the test.

Systems and methods for confirmation of intoxication determination

A system includes: a first camera configured to capture first images of a driver on a driver's seat within a passenger cabin of a vehicle; a second camera configured to capture second images in front of the vehicle; a driver module configured to determine a driver of the vehicle based on at least one of the first images and to determine a present driver's licensing level of the driver with a driver's licensing body; a first detection module configured to detect first occurrences of first conditions within the passenger cabin of the vehicle based on the first images; a second detection module configured to detect second occurrences of second conditions outside of the vehicle; and a reporting module configured to, based on the present driver's licensing level of the driver, selectively generate a report including at least one of the first and second occurrences.

Vehicle driver's licensing systems and methods

A method for detecting a position of a seatbelt in a vehicle includes: capturing, by a camera, a source image of an occupant in the vehicle; determining a pose of the occupant based on the source image; determining an occupant shadow based on the pose of the occupant; determining, based on the occupant shadow, a shadow overlying a region of interest (ROI) in the source image; and detecting, based on the shadow overlying the ROI, the seatbelt within the ROI. A system for detecting a position of a seatbelt is also provided. The system includes a camera and controller in communication with the camera and configured to: determine a pose of the occupant; determine an occupant shadow based on the pose of the occupant; determine, based on the occupant shadow, a shadow overlying the ROI; and detect, based on the shadow overlying the ROI, the seatbelt within the ROI.

Method and system for seatbelt detection using determination of shadows

A system and method for detecting seatbelt positioning includes capturing, by a camera, a near infrared (NIR) image of an occupant, applying a median filter to the NIR image to remove glints; converting the NIR image to a black-and-white image, scanning across the black-and-white (B/W) image to detect a plurality of transitions between black and white segments corresponding to stripes extending lengthwise along a length of the seatbelt, and using detections of the plurality of transitions to indicate a detection of the seatbelt. Converting the NIR image to the black-and-white image may include using a localized binary threshold to determine whether a given pixel in the B/W image should be black or white based on whether a corresponding source pixel within the NIR image is brighter than an average of nearby pixels within a predetermined distance of the corresponding source pixel.

System and method to detect proper seatbelt usage and distance

A method for detecting seatbelt positioning comprises: capturing, by a camera, a source image including a plurality of pixels each having a corresponding brightness level; determining a range of brightness levels of a group of the plurality of pixels located within at least one region of the source image; generating an adjusted image by adjusting the corresponding brightness levels of the group of the pixels located within the region of the source image based on the range of the brightness levels of the group of the plurality of pixels located within the at least one region of the source image; converting the adjusted image to a black-and-white image; and scanning across the black-and-white image to detect a plurality of transitions between black and white segments corresponding to a predetermined pattern of the seatbelt, and using detections of the plurality of transitions to indicate a detection of the seatbelt.

Method and system for seatbelt detection using adaptive histogram normalization

A system includes: a first camera configured to capture first images of a driver on a driver's seat within a passenger cabin of the vehicle; a second camera configured to capture second images in front of the vehicle; a driver module configured to determine a driver and a present rank of the driver; a module configured to detect a condition based on at least one of (a) a first image, (b) a second image, and (c) a parameter measured by a sensor; a reinforcement module configured to: display the present rank within the passenger cabin; generate an output within the passenger cabin in response to the detection of the condition; when no conditions are detected, increment a rank period of the driver; selectively increase the present rank of the driver; and generate an alert within the passenger cabin in response to the increasing of the present rank.

Positive and negative reinforcement systems and methods of vehicles for driving

A method and system for generating a combined rearview image of an area behind a vehicle that is towing a trailer, the method including: capturing a first image from a vehicle camera that is installed on the vehicle, the first image being comprised of an area behind the vehicle; capturing a second image from a trailer camera that is installed on the trailer, the second image being comprised of an area behind the trailer; determining an obstructed viewing region within the first image, the obstructed viewing region being a region of the first image in which the trailer resides; overlaying the second image on the first image and at least partially within the obstructed viewing region; and inserting graphics in the first image, in the second image, and/or in a patch region within the obstructed viewing region and between the second image and the first image.

Vehicle-trailer rearview vision system and method

A method and apparatus for preventing a collision with a gate of a vehicle are provided. The method includes: determining whether a hitch in a vehicle bed will be coupling with a trailer; determining whether a gate of the vehicle bed is in a closed position; and performing at least one from among displaying a warning of a potential collision and opening the gate of the vehicle bed, if it is determined that the hitch in the vehicle bed will be coupling with the trailer and the gate of the vehicle bed is in the closed position.

Method and apparatus for preventing collision with trailer

An antenna module mounted to a roof of a vehicle that includes a plurality of antenna elements for various vehicle communications systems. The antenna module also includes an FDM camera associated with an FDM, where the camera is positioned at the rear of the module and is mounted in a general flat configuration parallel to the roof the vehicle so that the camera field-of-view is directed upward and so that metal components of the camera do not interfere with the radiation pattern of the antenna elements. The camera includes one or more optical elements, such as a prism or reflector, mounted to the camera or other structure that redirects the camera field-of-view rearward of the vehicle.

Optimal camera and antenna integration

A method of detecting and correcting flicker. A video stream of a scene at various instances of time is captured by an image capture device. A local spatio-temporal feature extraction technique is applied, by a processor, to regions of the capture scene within each frame. Candidate flickering region detection is applied, by a classifier, to identify candidate regions. Corresponding candidate regions are tracked over time to detect illumination differences within each analyzed region. An illumination correction technique is applied to the candidate regions where flickering is detected. A flicker-free video is output on a display device.

System and method for adaptive flickering reduction from video sequence

A camera system for a vehicle includes a body defining a cavity therein, and a camera including a lens. The camera is disposed in a deployed position such that the lens protrudes from the cavity. The camera system includes a debris region covering the lens and a duct disposed within the cavity. The duct defines a channel therein and has a first end spaced apart from the camera and a second end spaced apart from the first end. The duct is configured for directing an airstream through the channel from the first end to the debris region. A vehicle including the camera system is also disclosed.

Growing community of inventors

Royal Oak, MI, United States of America

Caroline Chung