In various examples, detected object data representative of locations of detected objects in a
field of view may be determined. One or more clusters of the detected objects may be …

In various examples, sensor data representative of an image of a field of view of a vehicle
sensor may be received and the sensor data may be applied to a machine learning model …

In various examples, physical sensor data may be generated by a vehicle in a real-world
environment. The physical sensor data may be used to train deep neural networks (DNNs) …

In various examples, sensor data may be received that represents a field of view of a sensor
of a vehicle located in a physical environment. The sensor data may be applied to a …

2020-03-26 Assigned to NVIDIA CORPORATION reassignment NVIDIA CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

In various examples, a deep neural network (DNN) is trained—using image data alone—to
accurately predict distances to objects, obstacles, and/or a detected free-space boundary …

2020-04-30 Assigned to NVIDIA CORPORATION reassignment NVIDIA CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

Detection of synthetic content in portrait videos, eg, deep fakes, is achieved. Detectors
blindly utilizing deep learning are not effective in catching fake content, as generative …

In various examples, a path perception ensemble is used to produce a more accurate and
reliable understanding of a driving surface and/or a path there through. For example, an …

An end-to-end system for data generation, map creation using the generated data, and
localization to the created map is disclosed. Mapstreams—or streams of sensor data …