公开(公告)号：US20250136130A1

公开(公告)日：2025-05-01

申请号：US18499913

申请日：2023-11-01

Applicant: NVIDIA Corporation

Inventor： Rajath SHETTY ,  Ratin KUMAR ,  Niral Lalit PATHAK ,  Niranjan AVADHANAM

IPC: B60W50/10 ,  B60W60/00 ,  G06V20/58 ,  G06V20/59 ,  G06V20/62 ,  G06V30/14 ,  G06V30/19 ,  G06V30/262 ,  G10L15/183

Abstract: Various embodiments of the present disclosure relate to operator assistance based on extracting natural language characters from one or more sensed objects. For instance, particular embodiments may generate a natural language utterance based on extracting natural language text in a nearby traffic sign. In an illustrative example, particular embodiments may detect, via object detection and within image data, one or more regions of the image data depicting the traffic sign. Particular embodiments can then extract one or more first natural language characters represented in the traffic sign based at least on performing optical character recognition within the one or more regions of the image data in response to detecting the one or more regions of the image data depicting the traffic sign.

公开(公告)号：US20250136134A1

公开(公告)日：2025-05-01

申请号：US18499942

申请日：2023-11-01

Applicant: NVIDIA Corporation

Inventor： Rajath SHETTY ,  Ratin KUMAR ,  Niral Lalit PATHAK ,  Niranjan AVADHANAM

IPC: B60W50/14 ,  G06V20/59 ,  G10L13/027 ,  G10L15/22

Abstract: Various embodiments of the present disclosure relate to operator assistance based on operator monitoring. For instance, during long drives, a driver may become drowsy or may not otherwise be alert. As such, particular embodiments have the capability of starting a conversation with the driver based on driver interests and/or detecting that the driver is getting drowsy. In an illustrative example, a Driver Monitoring System (DMS) camera of a vehicle may employ a component that derives pixel-level information showing head nodding, hands dropping, or the like. Based on image pattern characteristics in the image data, particular embodiments generate a score representing an alertness level. A representation of the alertness level can be provided as input to a machine learning model so that the model may generate a suitable natural language or other response, such as starting a conversation with personalized trivia, sending a control signal to honk a horn, or the like.