Gm Global Technolgoy Operations, Inc.

Jay H Sim

Shuqing Zeng

Mohammad Naserian

Sai Vishnu Aluru

Justin K Francisco

Joseph F Szczerba

Jun-Mo Kang

Dongxu Li

Chen-Fang Chang

Yiran Hu

Xiaofeng Frank Song

Chad T Zagorski

Steven E Muldoon

Valor Yaldo

Junfeng Zhao

Constandi J Shami

Yi G Glaser

Daniel S Glaser

David A Osinski

Udo Schultheis

Kevin G Korchmaros

A system includes a plurality of sensors arranged in a vehicle to monitor an item in a storage area of a vehicle. The system comprises a data processing module configured to process data from the sensors, determine whether the item in the storage area of the vehicle is likely to move within the storage area or is likely to fall from the vehicle during travel, and generate a first indication that the item is likely to move within the storage area or is likely to fall from the vehicle during travel. The data processing module is configured to determine whether the item has moved within the storage area or has fallen from the vehicle during travel and generate a second indication that the item has moved within the storage area or has fallen from the vehicle during travel.

Systems and methods for monitoring and maintaining stability of vehicle cargo

Systems and methods to control a radar system to perform cross-traffic management in a vehicle with a trailer involve determining a location of the trailer behind the vehicle, and adjusting an initial field of view of the radar system to a modified field of view that excludes the location of the trailer. One or more other vehicles are detected with the radar system having the modified field of view. A cross-traffic alert is implemented based on the detecting the one or more other vehicles.

Radar system control to perform cross-traffic management in a vehicle with a trailer

A method includes capturing a first image of an object at a first time using a camera and assigning shade values to a plurality of pixels in a portion of the first image. The object includes a light portion and a dark portion that is darker than the light portion. The method further includes identifying a first mode value of the shade values corresponding to the light portion of the object in the first image, and identifying a second mode value of the shade values corresponding to the dark portion of the object in the first image. The method further includes determining a difference between the first and second mode values, and determining a contrast of the first image based on the difference.

System and method for analyzing camera performance degradation due to lens abrasion

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 system and method of controlling operation of a host device in real-time, the host device operatively connected to an optical device and a radar device. The optical device is configured to obtain visual data of at least one object. The object is located at an incline, relative to the host device, the incline being characterized by an elevation angle (&#x3d5;) and an azimuth angle (&#x3b8;). The radar device is configured to obtain radar data, including a radial distance (r) of the object from the host device, the azimuth angle (&#x3b8;), and a range rate (dr/dt). The controller is programmed to determine a time-to-contact for the host device and the object based at least partially on a 3-D position and 3-D velocity vector. The operation of the host device is controlled based at least partially on the time-to-contact.

Control of host device using three-dimensional position and velocity

A system and method to determine trailer pose includes imaging first and second telltales affixed to a trailer to provide trailer image data. A controller is operable to determine trailer pose from the trailer image data. The trailer pose information may be provided to one or more controllers of a vehicle towing the trailer.

Method and apparatus to determine trailer pose

A blind zone mitigation system of a host vehicle comprises i) at least one sensor that determines position information of a target vehicle with respect to the host vehicle, and ii) an active lane positioning module. The active lane positioning module receives the position information from the at least one sensor and determines a blind zone of the target vehicle. The active lane positioning module, in an active lane position mode, accelerates the host vehicle to move the host vehicle out of the blind zone of the target vehicle or decelerates the host vehicle to move the host vehicle out of the blind zone of the target vehicle.

Active lane positioning for blind zone mitigation

A vehicle engine system includes a combustion engine configured to provide a propulsion torque to satisfy a propulsion demand in response to a driver input. The engine system also includes a controller programmed to receive data indicative of at least one upcoming driving event, and issue a command to impart a predetermined velocity profile based on the upcoming driving event. The predetermined velocity profile is arranged to optimize a performance attribute of the combustion engine and preempt the driver input.

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Bloomfield, MI, United States of America

Jay H Sim