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 …

Diversity of leaves form a special feature in a plant that can be done research such as image
segmentation. However, the thing that is the main issue is the quantity of labeled data …

The analysis of micro structures in iron ore pellets is a complicated process that requires
experts and a large amount of time to classify the minerals in each image. Because of this …

In various examples, estimated field of view or gaze information of a user may be projected
external to a vehicle and compared to vehicle perception information corresponding to an …

Although the traditional convolutional neural network is applied to image segmentation
successfully, it has some limitations. That's the context information of the long-range on the …

Sports researchers and coaches currently have no practical tool that can accurately and
rapidly measure the 3D kinematics of swimmers. Established motion capture methods in …

US11676364B2 - Real-time detection of lanes and boundaries by autonomous vehicles -
Google Patents US11676364B2 - Real-time detection of lanes and boundaries by …

Methods and systems involving convolutional neural networks as applicable for semantic
segmentation, including multi-task convolutional networks employing curriculum based …

In various examples, a deep neural network (DNN) is trained to accurately predict, in
deployment, distances to objects and obstacles using image data alone. The DNN may be …

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 …