Gm Global Technolgoy Operations, Inc.

Valor Yaldo

Xiaofeng Frank Song

Sai Vishnu Aluru

Rawaa Yaldo

Mohammad Naserian

Mohannad F Murad

Allan K Lewis

Michael T Chaney, Jr

Jay H Sim

William R Venner

James P Neville

Emma Vasquez Ordonez

Jadel Davis

Pragya Tooteja

Sarah Spoto

A vehicle seat positioning system includes a seat occupancy sensor that generates a signal indicating the presence or absence of an occupant in each of a first vehicle seat and a second vehicle seat, a seat proximity sensor that generates a seat proximity signal indicating a distance between the first vehicle seat and an occupant of the second vehicle seat, and vehicle seat position controller configured to command the first vehicle seat to move away from the second vehicle seat in response to a signal from the seat occupancy sensor indicating absence of an occupant in the first vehicle seat and the presence of an occupant in the second vehicle seat and a signal from the seat proximity sensor indicating a distance between the first vehicle seat and the occupant of the second vehicle seat is less than a predetermined threshold distance.

Vehicle seat positioning system and method

In various embodiments, methods and systems are provided for controlling charging for a plurality of electric vehicles, each of the plurality of electric vehicles including a respective battery that is charged electrically via a respective charger. In one exemplary embodiment: (i) vehicle data, including respective charge statuses for the respective batteries of the plurality of electric vehicles, via sensors onboard the plurality of electric vehicles; (ii) charging station data, including respective availabilities for the plurality of charging stations, is obtained; (iii) the plurality of electric vehicles are each paired with respective charging stations, generated paired sets of electric vehicles and charging stations, based on the vehicle data and the charging station data, via a processor; and (iv) charging of respective batteries of the electric vehicles are controlled with the respective paired charging stations, via the processor.

Electric vehicle charging platform

One general aspect includes a system to detect a sufficient charging cable connection, the system including a memory configured to include one or more executable instructions and a processor configured to execute the executable instructions, where the executable instructions enable the processor to carry out the steps of: capturing an image of at least a portion of a vehicle body; determining whether the image includes a charging cable being sufficiently engaged with the portion of the vehicle body; and based on the determination of whether the image includes the charging cable being sufficiently connected to the portion of the vehicle body, producing a connection notification.

Method to detect the proper connection of a vehicle charging cable

Vision sensor detection systems and methods for mobile platforms that proactively prepare for impending lighting scenarios. The method includes determining or predicting a lighting scenario (LS) as a function of GPS data and wirelessly received mapping data. An on-board camera system is then operated in the LS using an associated predefined profile (PDP) having a tone-mapping setting associated with the LS. Received sensor data and camera data is used to confirm each predicted and current LS; Each predicted LS change results in retrieval of an associated PDP with its tone-mapping setting. Each confirmed LS results in using the sensor data and camera data to customize the tone-mapping setting. The method cycles during operation of the mobile platform.

System and method for vision sensor detection

A method for an autonomous vehicle to perform an autonomous parking maneuver is provided. The method includes operating the autonomous vehicle to a destination and then operating the autonomous vehicle to a first parking location at the destination utilizing stored first coordinates of the first parking location. Next the autonomous vehicle determines whether the first parking location is available and performs the autonomous parking maneuver at the first location when the first parking location is available.

Autonomous parking methods and systems for autonomous vehicles

Methods and systems for vehicle localization are disclosed. An exemplary system includes a navigation system configured to generate navigation data corresponding to a global position of the vehicle, at least one image sensor configured to capture image data of a selected roadway feature along a projected path of the vehicle, a database comprising map data corresponding to lateral and longitudinal coordinates for a plurality of roadway features along the projected path of the vehicle; and a controller, the controller configured to receive the image data, the map data, and the navigation data, calculate a first distance from the selected feature to the vehicle using the navigation data and the image data, calculate a second distance from the selected feature to the vehicle using the navigation data and the map data, and determine a localization error by comparing the first distance to the second distance.

Methods and systems for vehicle localization

Systems and methods are provided for controlling an autonomous vehicle. In one embodiment, a method includes: receiving image data from a camera device coupled to the autonomous vehicle; computing, by a processor, a value based on the image data; determining, by a processor, an existence of an emergency vehicle based on the computed value; selecting, by a processor, a first control strategy based on the determined existence of an emergency vehicle; and generating, by a processor, at least one signal to autonomously control the autonomous vehicle based on the control strategy.

Systems and methods for emergency vehicle response in an autonomous vehicle

One general aspect includes a mirror system including: a retractor module configured to be installed onto the ceiling of a vehicle interior; a retractor assembly positioned within the retractor module, the retractor assembly having a retractable connector attached at one end to a mirror positioned outside of the retractor module, the retractor assembly configured to releasably maintain the connector in a retracted position and at least one extended position; and the mirror being pivotably connected to the connector around a horizontal axis such that the mirror can be in a substantially horizontal orientation and substantially vertical orientation.

Mirror system for vehicle interiors

A vehicle passenger seat includes a moisture sensor that detects a moisture level of the vehicle passenger seat and generates a moisture level signal based upon the detected moisture level, and a processor in communication with the moisture sensor and that determines whether the moisture level signal exceeds a predetermined moisture level threshold.

Vehicle passenger seat for detecting and removing moisture, vehicle having the vehicle passenger seat, and ride share system including a vehicle having the vehicle passenger seat

A side rear view camera is located at a driver or passenger side of the vehicle, captures video beside and behind the vehicle, and has a predetermined field of view (FOV). The predetermined FOV is defined by a first predetermined horizontal angle of view (AOV) and a first predetermined vertical AOV. A display is located and visible within a passenger cabin of the vehicle. A display module, on the display: displays a first portion of the video from within a first predetermined portion of the predetermined FOV, the first predetermined portion of the predetermined FOV being defined by a second predetermined horizontal AOV and a second predetermined vertical AOV; and selectively displays a second portion of the video from within a second predetermined portion of the predetermined FOV, the second predetermined portion of the predetermined FOV being defined by a third predetermined horizontal AOV and a third predetermined vertical AOV.

Systems and methods for varying field of view of outside rear view camera

Methods and systems are provided for controlling parking of an autonomous vehicle. A method of parking an autonomous vehicle includes receiving sensor data indicative of an exterior environment of the autonomous vehicle. The received sensor data is processed to determine a parking space characterization. Additional sensor data is received that is indicative of an occupant location within the autonomous vehicle. A processor determines a parking position within a parking space based on the parking space characterization and the occupant location. The processor generates control signals to operate one or more actuator devices to maneuver the autonomous vehicle into the parking space at the parking position.

Autonomous vehicle parking methods and systems

A method and apparatus for optimizing traffic control device detection are provided. The method includes: determining whether a first vehicle is traveling to an intersection with a traffic control device and whether the first vehicle is within a predetermined distance of the intersection; in response to determining that the first vehicle is traveling to the intersection with the traffic control device and that the first vehicle is within the first predetermined distance of the intersection, scanning for the traffic control device; controlling the first vehicle to increase a distance between the first vehicle and a second vehicle in front of the first vehicle if the scanning fails to detect the traffic control device; and controlling the first vehicle to maintain the distance between the first vehicle and the second vehicle in front of the first vehicle if the scanning detects the traffic control device.

Method and apparatus for traffic control device detection optimization

A lane detection method includes: identifying locations of a lane line included in a first image captured using a first camera capturing images beside the vehicle, the first camera being mounted to a mirror that is movable; based on the locations of the lane line, determining a first linear equation corresponding to the lane line; determining a distance to the lane line based on the first linear equation; identifying locations of the lane line included in a second image captured using a second camera capturing images in front of the vehicle; based on the locations of the lane line, determining a second linear equation corresponding to the lane line; based on the first and second linear equations, determining an angle between first and second lines corresponding to the first and second linear equations, respectively; and determining a corrected distance to the lane line based on the distance and the angle.

Growing community of inventors

West Bloomfield, MI, United States of America

Valor Yaldo