At&t Intellectual Property I, L.p.

Nokia Solutions and Networks Oy

Huanle Zhang

Bo Han

Cheuk Yiu Ip

Eric Martin Zavesky

Sarit Mukherjee

Fang Hao

Mostafa Uddin

Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including downsampling a full point cloud to obtain a downsampled point cloud, wherein the downsampling reduces a data size of the full point cloud; and using a machine-learning model to assign labels for segmentation and object identification to points in the downsampled point cloud, wherein the machine-learning model is trained on the full point cloud. Other embodiments are disclosed.

Method for accelerating three-dimensional object segmentation with point cloud simplifications

A method, apparatus, and computer program product are disclosed for determining, by a mobile wireless device, a likelihood that a first device ID of a target wireless device corresponds to a physical location of the first wireless device at a first measurement location, based on comparing a measured received signal strength of the target wireless device at the first and a second measurement locations and comparing the measured received signal strength of one or more other wireless devices at the first and second measurement locations. The mobile wireless device registers the first device ID of the target wireless device and associates the registered first device ID with the determined corresponding physical location of the target wireless device.

Augmented onboarding of internet-of-things devices

Growing community of inventors

Davis, CA, United States of America

Huanle Zhang