Gm Global Technolgoy Operations, Inc.

Christopher A Stanek

Sai Vishnu Aluru

Chandra S Namuduri

Wende Zhang

Rashmi Prasad

Mohannad F Murad

Ariel Telpaz

Avesta Goodarzi

Michael Baltaxe

Steffen P Lindenthal

Utkarsh Saini

Nadav Baron

Barak Hershkovitz

Ravid Erez

In exemplary embodiments, methods and systems are provided that include one or more underbody cameras and a processor for a vehicle. The underbody cameras are configured to obtain camera images under the vehicle. The processor is coupled to the one or more underbody cameras, and is configured to at least facilitate: performing image processing for the camera images; and determining a ride height, a measure of weight on the vehicle, or both, based on the camera images from the one or more underbody cameras and the processing thereof via the processor.

Method to determine vehicle payload, trailer tongue weight, and ride height using underbody cameras

Presented are intelligent vehicle systems for off-road driving incident prediction and assistance, methods for making/operating such systems, and vehicles networking with such systems. A method for operating a motor vehicle includes a system controller receiving geolocation data indicating the vehicle is in or entering off-road terrain. Responsive to the vehicle geolocation data, the controller receives, from vehicle-mounted cameras, camera-generated images each containing the vehicle's drive wheel(s) and/or the off-road terrain's surface. The controller receives, from a controller area network bus, vehicle operating characteristics data and vehicle dynamics data for the motor vehicle. The camera data, vehicle operating characteristics data, and vehicle dynamics data is processed via a convolutional neural network backbone to predict occurrence of a driving incident on the off-road terrain within a prediction time horizon. The system controller commands a resident vehicle system to execute a control operation responsive to the predicted occurrence of the driving incident.

Intelligent vehicle systems and control logic for incident prediction and assistance in off-road driving situations

A method for operating an advanced driver assistance (ADAS) system of a motor vehicle includes a vehicle controller receiving, from side and end cameras mounted to the vehicle, camera signals indicative of real-time images of outboard-facing side and end views of the vehicle. The controller determines a region of interest (ROI) inset within each end/side view within which is expected foreign objects and/or hazards. These ROIs are analyzed to detect if a foreign object/hazard is present in the vehicle's end and/or side views. Responsive to detecting the foreign object/hazard, movement of the foreign object/hazard is tracked to determine if the foreign object/hazard moves towards or away from the vehicle's underbody region. If the foreign object/hazard moves to the underbody region, control signals are transmitted to the vehicle's propulsion and/or steering system to automate preventative action that prevents collision of the vehicle with and/or removes the foreign object/hazard from the underbody.

Intelligent vehicles with advanced vehicle camera systems for underbody hazard and foreign object detection

One general aspect includes a system to modify an image feed from a second camera of a vehicle, the system includes 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 receive a first image feed from a first camera located on the vehicle; monitor one or more image characteristics of the first image feed; receive the second image feed from the second camera located on the vehicle; and based on the monitored one or more image characteristics of the first image feed, modify the second image feed such that one or more image characteristics of the second image feed are substantially similar to the monitored one or more image characteristics of the first image feed.

System and method to modify undercarriage camera image feed

An automotive vehicle includes a vehicle body and a fascia coupled to the vehicle body. The vehicle also includes a rigid backer plate coupled to the body. The backer plate is disposed between the body and the fascia, and is spaced from the fascia. The vehicle further includes a compressible layer disposed between the fascia and the backer plate. The compressible layer has a first face proximate the fascia and a second face proximate the backer plate. The second face is provided with a recess to define a cavity between the compressible layer and the bumper plate. A pressure sensor is disposed in the cavity. The rigid backer plate has a backer plate face proximate the compressible layer and a rib member projecting from the backer plate face. The rib member is disposed at least partially in the cavity.

Bumper collision sensor for an automotive vehicle

Growing community of inventors

Lake Orion, MI, United States of America

Christopher A Stanek