公开(公告)号：US12014552B2

公开(公告)日：2024-06-18

申请号：US17544195

申请日：2021-12-07

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Ariel Telpaz ,  Ravid Erez ,  Michael Baltaxe ,  Barak Hershkovitz ,  Nadav Baron ,  Christopher A Stanek

IPC: G06V20/56 ,  B60R16/023 ,  G05D1/00 ,  G06V10/25 ,  G06V10/26 ,  G06V10/44 ,  G06V10/62 ,  G06V10/82 ,  G07C5/00 ,  G07C5/02 ,  H04N23/90

CPC classification number: G06V20/56 ,  B60R16/0231 ,  G05D1/0214 ,  G05D1/0246 ,  G06V10/25 ,  G06V10/267 ,  G06V10/44 ,  G06V10/62 ,  G06V10/82 ,  G07C5/008 ,  G07C5/02 ,  H04N23/90

Abstract: 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.