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, 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 …

The advent of modern remote sensors alongside the development of advanced parallel
computing has significantly transformed both the theoretical and real implementation …

Image semantic segmentation is an important branch in the field of AI. Traditional semantic
segmentation algorithms are mostly specific to the problem, and there is no universal …

Markerless motion capture would permit the study of human biomechanics in environments
where marker-based systems are impractical, eg outdoors or underwater. The visual hull …

With the advent and increased accessibility of deep neural networks (DNNs), complex
properties of histologic images can be rigorously and reproducibly quantified. We used DNN …

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 …

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 …