公开(公告)号：US12202432B2

公开(公告)日：2025-01-21

申请号：US17137256

申请日：2020-12-29

Applicant: NVIDIA Corporation

Inventor： Feng Hu

IPC: B60R22/48 ,  G06T7/60 ,  G06T7/73

Abstract: Systems and methods are disclosed related to restraint device (e.g., seatbelt) localization. In one embodiment, the disclosure relates to systems and methods for seatbelt detection and modeling. A vehicle may be occupied by one or more occupants wearing one or more seatbelts. A camera or other sensor is placed within the vehicle to capture images of the one or more occupants. A system analyzes the images to detect and model seatbelts depicted in the images. Specifically, the system may scan the images and areas of the images that may correspond to seatbelts. The system may assemble candidate areas of the images that may correspond to seatbelts, and refine the candidate areas based on various constraints. The system may build models based on the refined candidate areas that indicate the seatbelts. The system may visualize the models indicating the seatbelts using the images.

公开(公告)号：US20230356728A1

公开(公告)日：2023-11-09

申请号：US18144651

申请日：2023-05-08

Applicant: NVIDIA Corporation

Inventor： Anshul Jain ,  Ratin Kumar ,  Feng Hu ,  Niranjan Avadhanam ,  Atousa Torabi ,  Hairong Jiang ,  Ram Ganapathi ,  Taek Kim

IPC: B60W30/18 ,  B60W50/00 ,  B60W40/08 ,  G06V40/19 ,  G05B13/02 ,  G05D1/00 ,  G06F18/25 ,  G06V10/141 ,  G06V20/59

CPC classification number: B60W50/0098 ,  B60W30/18 ,  B60W40/08 ,  G05B13/027 ,  G05D1/0061 ,  G06F18/251 ,  G06V10/141 ,  G06V20/597 ,  G06V40/19 ,  B60W2040/0836 ,  B60W2540/26 ,  H04N23/71

Abstract: Approaches for an advanced AI-assisted vehicle can utilize an extensive suite of sensors inside and outside the vehicle, providing information to a computing platform running one or more neural networks. The neural networks can perform functions such as facial recognition, eye tracking, gesture recognition, head position, and gaze tracking to monitor the condition and safety of the driver and passengers. The system also identifies and tracks body pose and signals of people inside and outside the vehicle to understand their intent and actions. The system can track driver gaze to identify objects the driver might not see, such as cross-traffic and approaching cyclists. The system can provide notification of potential hazards, advice, and warnings. The system can also take corrective action, which may include controlling one or more vehicle subsystems, or when necessary, autonomously controlling the entire vehicle. The system can work with vehicle systems for enhanced analytics and recommendations.

公开(公告)号：US20210394710A1

公开(公告)日：2021-12-23

申请号：US16905418

申请日：2020-06-18

Applicant: NVIDIA Corporation

Inventor： Feng Hu ,  Niranjan Avadhanam

IPC: B60R22/48 ,  G06N20/00 ,  G06K9/00 ,  B60W40/09 ,  B60W50/14

Abstract: Systems and methods for machine learning based seatbelt position detection and classification. A number of fiducial markers are placed on a vehicle seatbelt. A camera or other sensor is placed within the vehicle, to capture images or other data relating positions of the fiducial markers when the seatbelt is in use. One or more models such as machine learning models may then determine the spatial positions of the fiducial markers from the captured image information, and determine the worn state of the seatbelt. In particular, the system may determine whether the seatbelt is being worn in one or more improper states, such as not being worn or being worn in an unsafe or dangerous manner, and if so, the system may alert the vehicle to take corrective action. In this manner, the system provides constant and real-time monitoring of seatbelts to improve seatbelt usage and safety.

公开(公告)号：US20250058739A1

公开(公告)日：2025-02-20

申请号：US18936912

申请日：2024-11-04

Applicant: NVIDIA Corporation

Inventor： Feng Hu

IPC: B60R22/48 ,  G06T7/60 ,  G06T7/73

Abstract: Systems and methods are disclosed related to restraint device (e.g., seatbelt) localization. In one embodiment, the disclosure relates to systems and methods for seatbelt detection and modeling. A vehicle may be occupied by one or more occupants wearing one or more seatbelts. A camera or other sensor is placed within the vehicle to capture images of the one or more occupants. A system analyzes the images to detect and model seatbelts depicted in the images. Specifically, the system may scan the images and areas of the images that may correspond to seatbelts. The system may assemble candidate areas of the images that may correspond to seatbelts, and refine the candidate areas based on various constraints. The system may build models based on the refined candidate areas that indicate the seatbelts. The system may visualize the models indicating the seatbelts using the images.

公开(公告)号：US12208732B2

公开(公告)日：2025-01-28

申请号：US16773883

申请日：2020-01-27

Applicant: NVIDIA Corporation

Inventor： Feng Hu ,  Niranjan Avadhanam ,  Ratin Kumar ,  Simon John Baker

IPC: B60R1/02 ,  B60R1/072 ,  B60R1/12

Abstract: Systems and methods for a self-adjusting vehicle mirror. The mirror automatically locates the face of the driver or another passenger, and orients the mirror to provide the driver/passenger face with a desired view from the mirror. The mirror may continue to reorient itself as the driver or passenger shifts position, to continuously provide a desired field of view even as he or she changes position over time. In certain embodiments, the mirror system of the disclosure can be a self-contained system, with the mirror, mirror actuator, camera, and computing device all contained within the mirror housing as a single integrated unit.

公开(公告)号：US12005855B2

公开(公告)日：2024-06-11

申请号：US16905418

申请日：2020-06-18

Applicant: NVIDIA Corporation

Inventor： Feng Hu ,  Niranjan Avadhanam

IPC: B60R22/48 ,  B60W40/09 ,  B60W50/14 ,  G06N20/00 ,  G06V20/59

CPC classification number: B60R22/48 ,  B60W40/09 ,  B60W50/14 ,  G06N20/00 ,  G06V20/59 ,  B60R2022/485 ,  B60W2050/146

Abstract: Systems and methods for machine learning based seatbelt position detection and classification. A number of fiducial markers are placed on a vehicle seatbelt. A camera or other sensor is placed within the vehicle, to capture images or other data relating positions of the fiducial markers when the seatbelt is in use. One or more models such as machine learning models may then determine the spatial positions of the fiducial markers from the captured image information, and determine the worn state of the seatbelt. In particular, the system may determine whether the seatbelt is being worn in one or more improper states, such as not being worn or being worn in an unsafe or dangerous manner, and if so, the system may alert the vehicle to take corrective action. In this manner, the system provides constant and real-time monitoring of seatbelts to improve seatbelt usage and safety.

公开(公告)号：US20220026987A1

公开(公告)日：2022-01-27

申请号：US17498353

申请日：2021-10-11

Applicant: Nvidia Corporation

Inventor： Feng Hu ,  Niranjan Avadhanam ,  Yuzhuo Ren ,  Sujay Yadawadkar ,  Sakthivel Sivaraman ,  Hairong Jiang ,  Siyue Wu

IPC: G06F3/01 ,  G06K9/00 ,  G06T7/70 ,  G10L15/22 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques are described to determine locations of objects using images including digital representations of those objects. In at least one embodiment, a gaze of one or more occupants of a vehicle is determined independently of a location of one or more sensors used to detect those occupants.