公开(公告)号：US20250095229A1

公开(公告)日：2025-03-20

申请号：US18397081

申请日：2023-12-27

Applicant: NVIDIA Corporation

Inventor： Yue Wang ,  Jiawei Yang ,  Boris Ivanovic ,  Xinshuo Weng ,  Or Litany ,  Danfei Xu ,  Seung Wook Kim ,  Sanja Fidler ,  Marco Pavone ,  Boyi Li ,  Tong Che

IPC: G06T11/00 ,  G06T17/00 ,  G06V10/44 ,  H04N13/279

Abstract: Apparatuses, systems, and techniques to generate an image of an environment. In at least one embodiment, one or more neural networks are used to identify one or more static and dynamic features of an environment to be used to generate a representation of the environment.

公开(公告)号：US20240193848A1

公开(公告)日：2024-06-13

申请号：US18516625

申请日：2023-11-21

Applicant: NVIDIA Corporation

Inventor： Yue Wang ,  Marco Pavone

IPC: G06T15/06 ,  G06T7/90

CPC classification number: G06T15/06 ,  G06T7/90 ,  G06T2207/20084

Abstract: Apparatuses, systems, and techniques to use one or more machine learning processes to obtain a set of feature values based at least in part on a set of locations along a ray that intersects an object. A color value is obtained based at least in part on the set of feature values. A view of the object may be generated using the color value. A path of motion may be determined based at least in part on the color value and used to cause a device to move.

公开(公告)号：US20240273802A1

公开(公告)日：2024-08-15

申请号：US18422650

申请日：2024-01-25

Applicant: NVIDIA Corporation

Inventor： Yue Wang ,  Marco Pavone ,  Jiawei Yang

IPC: G06T15/00 ,  G06T15/06

CPC classification number: G06T15/005 ,  G06T15/06

Abstract: In various examples, frequency regularization and/or occlusion regularization techniques may be used to train Neural Radiance Fields (NeRF) to determine neural renderings based at least on sparse inputs in a way that reduces overfitting, underfitting, and/or occlusions. For example, while training a NeRF, a linearly increased frequency mask may be applied to regularize a visible frequency spectrum of training data based on training time steps. In examples, as training of the NeRF progresses, the visible frequency may be increased in a way that reduces the risk of overfitting and/or avoids underfitting. Additionally, the disclosed techniques may also include masking one or more density scores located within a threshold proximity of an origin of a ray to reduce floaters, walls, and other occlusions in the neural rendering output.

公开(公告)号：US20250091605A1

公开(公告)日：2025-03-20

申请号：US18747265

申请日：2024-06-18

Applicant: NVIDIA Corporation

Inventor： Katie Z. Luo ,  Yue Wang ,  Xinshuo Weng ,  Marco Pavone ,  Yan Wang

IPC: B60W60/00 ,  G01C21/30

Abstract: In the context of autonomous driving, the recognition of lane topologies is required for the vehicle to make well-informed and prudent decisions such as lane changes, navigation through intricate intersections, and smooth merging. Current autonomous driving systems rely solely on sensor (e.g. camera) inputs to recognize lane topology. As a result, poor sensor data will have a direct negative impact on lane topology recognition. The present disclosure augments lane topology reasoning with a standard definition navigation map for use in autonomous driving applications.