公开(公告)号：US20250162602A1

公开(公告)日：2025-05-22

申请号：US18515543

申请日：2023-11-21

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Ron HECHT ,  Ohad AKIVA ,  Omer TSIMHONI ,  Ariel TELPAZ ,  Claudia GOLDMAN-SHENHAR ,  Gershon CELNIKER

IPC: B60W50/10 ,  B60H1/00 ,  B60W10/30 ,  B60W50/16 ,  B60W60/00

Abstract: An assistance system includes: a perception module configured to collect sensor data including data tracking behavior of a vehicle occupant in a host vehicle, and to determine perception information describing a current situation warranting initiation of an interactive dialog with the vehicle occupant; an interactive goal module configured to determine an interactive goal based on the determined perception information; an interaction timing module configured to determine timing for initiating the interactive dialog based on the interactive goal; a dialog module configured to, based on the perception information and the timing, initiate the interactive dialog to provide at least one of a suggestion and an offer to the vehicle occupant; and a vehicle control module configured to control operation of at least one of a device and a system of the host vehicle in response to the vehicle occupant accepting the at least one of the suggestion and the offer.

公开(公告)号：US20250155257A1

公开(公告)日：2025-05-15

申请号：US18508818

申请日：2023-11-14

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Ariel TELPAZ ,  Nadav BARON ,  Alexander SHERMAN ,  Refael BLANCA ,  Michael BALTAXE ,  Ron HECHT

IPC: G01C21/36 ,  G01C21/34 ,  G06V10/25 ,  G06V10/70 ,  G06V20/56

Abstract: A vehicle control system for camera-based vehicle navigation includes at least one vehicle camera configured to capture an image of a front view from a vehicle, a global positioning system (GPS) receiver configured to obtain a current location of the vehicle, a vehicle user interface including a display, and a vehicle control module. The vehicle control module is configured to obtain the current location of the vehicle via the GPS receiver, identify a sequence of vehicle navigation steps to a target destination, capture the image via the at least one vehicle camera, process the image with a machine learning model to detect multiple objects in the image, rank the multiple objects according to landmark scoring criteria indicative of an object recognition likelihood by a driver of the vehicle, and display a highest ranked one of the multiple objects in association with a next vehicle navigation step.