Using image augmentation with simulated objects for training machine learning models in autonomous driving applications

TE Choe, P Hao, X Lin, M Park - US Patent 11,801,861, 2023 - Google Patents
In various examples, systems and methods are disclosed that preserve rich, detail-centric
information from a real-world image by augmenting the real-world image with simulated …

Three-dimensional (3D) rendering method and apparatus

I Ha, HS Chang, K Nahyup - US Patent 12,198,245, 2025 - Google Patents
Abstract A three-dimensional (3D) rendering method includes extracting sample points from
a 3D scene, acquiring rendering result information for the sample points by rendering the …

3D surface structure estimation using neural networks for autonomous systems and applications

K Wang, Y Wu, M Park, G Pan - US Patent 12,190,448, 2025 - Google Patents
In various examples, to support training a deep neural network (DNN) to predict a dense
representation of a 3D surface structure of interest, a training dataset is generated using a …

3D surface reconstruction with point cloud densification using artificial intelligence for autonomous systems and applications

K Wang, Y Wu, M Park, G Pan - US Patent 12,145,617, 2024 - Google Patents
In various examples, a 3D surface structure such as the 3D surface structure of a road (3D
road surface) may be observed and estimated to generate a 3D point cloud or other …

Using neural networks for 3D surface structure estimation based on real-world data for autonomous systems and applications

K Wang, Y Wu, M Park, G Pan - US Patent 12,008,822, 2024 - Google Patents
In various examples, to support training a deep neural network (DNN) to predict a dense
representation of a 3D surface structure of interest, a training dataset is generated from real …

3D surface structure estimation using neural networks for autonomous systems and applications

K Wang, Y Wu, M Park, G Pan - US Patent 11,967,022, 2024 - Google Patents
In various examples, to support training a deep neural network (DNN) to predict a dense
representation of a 3D surface structure of interest, a training dataset is generated using a …

Method and system for mixing static scene and live annotations for efficient labeled image dataset collection

MA Shreve, J Subramanian - US Patent App. 17/879,480, 2024 - Google Patents
A system is provided which mixes static scene and live annotations for labeled dataset
collection. A first recording device obtains a 3D mesh of a scene with physical objects. The …

*** WITHDRAWN PATENT AS PER THE LATEST USPTO WITHDRAWN LIST*** 3D surface structure estimation using neural networks for autonomous systems and …

K Wang, Y Wu, M Park, G Pan - US Patent 11,922,571, 2024 - freepatentsonline.com
In various examples, to support training a deep neural network (DNN) to predict a dense
representation of a 3D surface structure of interest, a training dataset is generated using a …

System and method for interactive feedback in data collection for machine learning in computer vision tasks using augmented reality

MA Shreve, RR Price - US Patent 11,917,289, 2024 - Google Patents
A system is provided which obtains images of a physical object captured by an AR recording
device in a 3D scene. The system measures a level of diversity of the obtained images, for a …

Deep neural network visualisation

BJ Bakker, D Mavroeidis, S Trajanovski - US Patent 12,062,225, 2024 - Google Patents
Aspects and embodiments relate to a method of providing a representation of a feature
identified by a deep neural network as being relevant to an outcome, a computer program …