Gm Global Technolgoy Operations, Inc.

University of Southern California

At&t Intellectual Property I, L.p.

University of South Carolina

Ramesh Govindan

Fan Bai

Hang Qiu

Fawad Ahmad

Donald K Grimm

Subhabrata Bapi Sen

Nemmara K Shankaranarayanan

Jia Wang

Emir Halepovic

Ajay Mahimkar

Shuai Hao

Marco Gruteser

Xing Xu

Yaguang Li

Zahaib Akhtar

Devices, computer-readable media, and methods for making a cache admission decision regarding a video chunk are described. For instance, a processing system including at least one processor may obtain a request for a first chunk of a first video, determine that the first chunk is not stored in a cache, and apply, in response to the determining that the first chunk is not stored in the cache, a classifier to predict whether the first chunk will be re-requested within a time horizon, where the classifier is trained in accordance with a set of features associated with a plurality of chunks of a plurality of videos. When it is predicted via the classifier that the first chunk will be re-requested within the time horizon, the processing system may store the first chunk in the cache.

Adaptive bitrate video cache

A vehicle is described, and includes an on-board controller, an extra-vehicle communication system, a GPS sensor, a spatial monitoring system, and a navigation system that employs an on-vehicle navigation map. Operation includes capturing a 3D sensor representation of a field of view and an associated GPS location, executing a feature extraction routine, executing a semantic segmentation of the extracted features, executing a simultaneous location and mapping (SLAM) of the extracted features, executing a context extraction from the simultaneous location and mapping of the extracted features, and updating the on-vehicle navigation map based thereon. A parsimonious map representation is generated based upon the updated on-vehicle navigation map, and is communicated to a second, off-board controller. The second controller executes a sparse map stitching to update a base navigation map based upon the parsimonious map representation. The on-vehicle navigation map is updated based upon the off-board navigation map.

Method and apparatus for a context-aware crowd-sourced sparse high definition map

Aspects of the subject disclosure may include, for example, allocating, by a processing system including a processor, a first subset of resources to a first plurality of applications and a second subset of the resources to a second plurality of applications, wherein the allocating is based on respective statuses associated with the first plurality of applications and the second plurality of applications, and assigning, by the processing system, a respective bitrate to each application of the first plurality of applications, wherein the assigning of the respective bitrate to each application of the first plurality of applications is based on: a first threshold associated with a re-buffering of content, and a second threshold associated with the statuses. Other embodiments are disclosed.

Method and apparatus for streaming video applications in cellular networks

Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method includes: receiving sensor data from a sensor of the vehicle; determining a three dimensional point cloud map segment from the sensor data; determining a vehicle pose associated with the three-dimensional point cloud map segment; determining a pose difference based on the vehicle pose, another vehicle pose, and a two-step process, wherein the two-step process includes computing a coarse-granularity pose difference, and computing a fine-granularity pose difference; aligning the three dimensional point cloud map segment with another three dimensional point cloud map segment associated with the other vehicle pose based on the pose difference; and controlling the vehicle based on the aligned three dimensional point cloud map segments.

Crowd-sensed point cloud map

A system and method is taught for vehicles controlled by automated driving systems, particularly those configured to automatically control vehicle steering, acceleration, and braking during a drive cycle without human intervention. In particular, the present disclosure teaches a system and method for generation situational awareness and path planning data and transmitting this information via vehicle to vehicle communications where one vehicle has an obstructed view to objects not within an obstructed view of a second vehicle.

Method and apparatus of networked scene rendering and augmentation in vehicular environments in autonomous driving systems

Growing community of inventors

Cerritos, CA, United States of America

Ramesh Govindan