Qualcomm Incorporated

Netradyne, Inc.

Other

Leland Stanford Junior University

Avneesh Agrawal

Alexei Yurievitch Gorokhov

Aamod Dinkar Khandekar

David Jonathan Julian

Naga Bhushan

Ravi Palanki

Arak Sutivong

Edward Harrison Teague

Tingfang Ji

Ashwin Sampath

Dhananjay Ashok Gore

Gavin Bernard Horn

Rajiv Vijayan

Tamer Adel Kadous

Mohammad Jaber Borran

Durga Prasad Malladi

Ashok Mantravadi

Venkata Sreekanta Reddy Annapureddy

Sandeep Pandya

Rajat Prakash

Fatih Ulupinar

Nikhil Jain

Brian K Butler

Anastasios Stamoulis

Michael Campos

Juan Montojo

Sharad Deepak Sambhwani

Ayman Fawzy Naguib

Da-shan Shiu

Daisuke Terasawa

Peter S Gaal

Parag Arun Agashe

Qiuzhen Zou

Ramaswamy Murali

Gilbert Christopher Sih

Jeremy H Lin

Gregory Gordon Rose

Chong U Lee

Lu Xiao

Kamran Moallemi

Arvind Vijay Keerthi

Sanjay K Jha

Manuel Eduardo Jaime

Hemanth Sampath

Sanjiv Nanda

Rajarshi Gupta

Fuyun Ling

Paul E Bender

Raja Sekhar Bachu

Donald William Gillies

Krishna Kiran Mukkavilli

Edward George Tiedemann, Jr

Vikram Makam Gupta

Peerapol Tinnakornsrisuphap

Raghuraman Krishnamoorthi

Parvathanathan Subrahmanya

Manoj Madhukar Deshpande

Haitao Zhang

Murali Chari

Ranjith Subramanian Jayaram

Dexu Lin

Jiming Guo

Prasanna Kannan

Tao Luo

Junyi Li

Yan Zhou

Hao Xu

Yongbin Wei

Taesang Yoo

Santosh Paul Abraham

Makesh Pravin John Wilson

Raghu Narayan Challa

Peter J Black

Shimman Arvind Patel

Sven Fischer

Luca Blessent

Siddhartha Mallik

Vincent Knowles Jones, Iv

Ahmad Jalali

Kee-Bong Song

Charles E Wheatley, Iii

John Matthew Cioffi

Danlu Zhang

Rohit Kapoor

Inyup Kang

Arnab Das

Mehmet Izzet Gurelli

Douglas Neal Rowitch

Sundeep Rangan

Klein S Gilhousen

Venkata Ramanan Venkatachalam Jayaraman

William Robert Gardner

Min Dong

Ranganathan Krishnan

Nitin Kasturi

Nileshkumar Jayendrabhai Parekh

Jaber Mohammad Borran

David S Miller

Subramanya P Rao

Gene Fong

Systems and methods are provided for recording video of a driver in a vehicle and a surrounding visual field of the driver. The system includes a detachable body coupled to a windshield of a vehicle. The system further includes three or more cameras coupled to the detachable body. The three or more cameras are configured to capture surrounding views from the detachable body. One of the three or more cameras faces a driver seat of the vehicle in response to the detachable body being coupled to the windshield of the vehicle. The video may be processed by the system, the cloud, or a combination of them.

Recording video of an operator and a surrounding visual field

The present disclosure provides systems and methods for mapping a determined path of travel. The path of travel may be mapped to a camera view of a camera affixed to a vehicle. In some embodiments, the path of travel may be mapped to another view that is based on a camera, such as a bird's eye view anchored to the camera's position at a given time. These systems and methods may determine the path of travel by incorporating data from later points in time.

Advanced path prediction

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

Inward/outward vehicle monitoring for remote reporting and in-cab warning enhancements

Systems and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Short-term and long-term memory on an edge device

Systems and methods are provided for determining cause of atypical traffic events and/or encouraging good driving behavior. The systems and methods may involve a camera sensor and/or inertial sensors to detect traffic events, as well analytical methods that may attribute a cause to the traffic event. The systems and methods include a processor that is configured to determine an occurrence of an atypical traffic event at or near a monitored vehicle; and determine a cause of the atypical traffic event based on data collected at the monitored vehicle, wherein the cause of the atypical traffic event is at least one of: a driver or control system of the monitored vehicle; a second driver or second control system of a second vehicle; and a road condition.

Determining causation of traffic events and encouraging good driving behavior

Systems and methods are provided for detecting a driving action that mitigates risk.

Detection of driving actions that mitigate risk

Systems and methods are provided for embedded data inference. The systems and methods may process camera and other sensor data in by leveraging processing and storage capacity of one or more devices nearby or in the cloud to augment or update the sensor processing of an embedded device. The joint processing may be used in stationary cameras or in vehicular systems such as cars and drones, and may improve crop assessments, navigation, and safety.

Joint processing for embedded data inference

Techniques for centralized control of peer-to-peer (P2P) communication and centralized control of femto cell operation are described. For centralized control of P2P communication, a designated network entity (e.g., a base station) may control P2P communication of stations (e.g., UEs) located within its coverage area. The designated network entity may identify a UE located within coverage of a femto cell but unable to access the femto cell due to restricted association. The designated network entity may deactivate the femto cell to allow the UE to communicate with another cell.

Centralized control of femto cell operation

Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.

Driver behavior monitoring

A method to mitigate interference in a wireless system is provided. The method includes processing a set of radio network identifiers and limiting a number of hypotheses associated with the radio network identifiers in order to mitigate interference in a wireless network. In another aspect, the method includes processing a set of hypotheses and limiting the set of hypotheses by limiting a number of downlink grants to a common space, limiting the number of downlink grants to a number of instances, or limiting the number of grants to a physical downlink control channel (PDCCH) type. In yet another aspect, the method includes processing a downlink set and generating a target termination level for the downlink data set, the termination level associated with a Hybrid automatic repeat-request.

Downlink interference cancellation methods

Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Distributed video storage and search with edge computing

Systems and methodologies are described that facilitate defining new control channels in legacy wireless networks. Control data resources for new systems can be defined over resources reserved for general data communications in the legacy wireless network specification. In this regard, legacy devices can still be supported by devices implementing new control data resources, and the new control data resources can avoid substantial interference that is typically exhibited over legacy control and/or reference signal resources by instead using the general data resources. In addition, new system devices can avoid scheduling data communication resources over the new control resources to create a substantially non-interfered global control segment. Control data can be transmitted over the segment using beacon-based technologies, reuse schemes, and/or the like.

Systems and methods to define control channels using reserved resource blocks

Growing community of inventors

San Diego, CA, United States of America

Avneesh Agrawal