Here Global B.v.

Blackberry Corporation

Motorola Mobility LLC

Motorola Corporation

Google Inc.

Other

Caterpillar Inc.

Google Technology Holdings LLC

Arnold Sheynman

Bruce A Bernhardt

Jingwei Xu

Yan Xin

Shouxing Qu

Mark Pecen

Huan Wu

Michael E Russell

Yuxin Guan

Weimin Huang

Daniela Radakovic

Kyle Jackson

Mark R Braun

Michael L Charlier

James Paul Warden

Robert Patzer

Daniel Noel Badiere

Dake He

Michael Shenfield

Michael D Kotzin

Yongkang Jia

James A Van Bosch

Niels Peter Skov Andersen

Huanhuan Gu

Marcel Villaflor

Tony Belkin

Rodney Landers

Jun Tian

Yingchun Ran

Mohammad Shafiq Bani Hani

Mikhail T Galeev

Paul F Struhsaker

Anatoly S Belkin

Shirook M Ali

Greg R Black

Huinan J Yu

Aroon V Tungare

Yilin Zhao

Donald Arthur Dorsey

Stephen Andrew Howell

Sharada Raghuram

Juana Elias Nakfour

Judy Jeonghye Ma

William A Myers

Christopher Andrew DeVries

Vladimir Sklovsky

Ramesh Sudini

John R St Peter

Kevin C Mowry

Xin Gao

Phan Dao Minh Truong

Rohini Polisetty

Dongmin Liu

Carl A Grube

Ali Omer Mubarek

Jia Chang Xu

Christopher Devries

Tongyan Zhai

Tongyan (Annie) Zhai

Ali Ömer Mubarek

Daniel R Muehl

Jatin J Patel

Rajendra K Kosgi

Mahesh Perepa

Maloor Ramachandra Sreekrishna

Krishnamurthy Srinath Vijayaprasad

Kevin Michael Spriggs

Mark E Pecen

Bruce Allen Bernhardt

Stephen Howell

Systems and methods for vehicle routing may be based on wireless network performance data. A vehicle route includes one or more path segments included in the route based on the wireless performance data. The vehicle route may be updated based on updated wireless performance data. Driving assistance features of a vehicle may be enabled by the wireless performance data, and different driving assistance features may be enabled or disabled on the vehicle route according to changes in wireless performance data. As the vehicle traverses the route, the driving assistance features may be enabled or disabled based on the wireless performance data for the path segment. The vehicle route may be updated to continue to enable a set of the driving assistance features.

Network support for dynamic vehicle routing

Network support for vehicle routing

An approach is provided for accurate travel time prediction. The approach involves, for example, determining probe data collected within a threshold proximity of a vehicle location and a pickup location. The probe data may be collected, for example, from a location sensor of at least one probe vehicle that has previously traversed the vehicle location and the pickup location. The approach also involves processing the probe data to identify a travel time of a route taken by the at least one probe vehicle from the vehicle location to the pickup location. The approach also involves providing the travel time as an output indicating a wait time for a vehicle at the vehicle location to reach the pickup location.

Method and apparatus for ridesharing pickup wait time prediction

A method, apparatus, and non-transitory computer readable storage medium for traffic report certainty estimation. The approach may include determining at least one data input to a traffic model for generating a traffic report estimation for a road segment. The approach may also involve determining at least one input characteristic value associated with the at least one data input based, at least in part, on probe data collected from one or more sensors of at least one probe device. The approach may further involve determining a coefficient of certainty value from a certainty table based on the at least one input characteristic value, wherein the certainty table respectively maps one or more value intervals of the at least one input characteristic value to a pre-assigned coefficient of certainty value, and providing the coefficient of certainty value as an output associated with the traffic report.

Method and apparatus for traffic report certainty estimation

The present technology is generally directed to systems and methods for inspecting an asset in a communication-denied environment. The present technology can include receiving, via an electronic device, an image of a dashboard of the asset; determining, based on the image, a working mode and one or more status identifiers of the asset; transmitting the working mode and the one or more status identifiers to an inspection system; and/or receiving information regarding the status of the asset based on the working mode and one or more status identifiers.

Systems and methods for inspecting multi-mode asset status in communication-denied environments

A method, apparatus and computer program product are provided to estimate the location of a vehicle based at least in part upon two or more road signs that are depicted by one or more images captured by one or more image capture devices onboard the vehicle. By relying at least in part upon the two or more road signs, the location of the vehicle may be refined or otherwise estimated with enhanced accuracy, such as in instances in which there is an inability to maintain a line-of-sight with the satellites of a satellite positioning system or otherwise in instances in which the location estimated based upon reliance on satellite or radio signals is considered insufficient. As a result, the vehicle may be navigated in a more informed and reliable manner and the relationship of the vehicle to other vehicles may be determined with greater confidence.

Method and apparatus for estimating a location of a vehicle

A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

System and method to generate traffic congestion estimation data for calculation of traffic condition in a region

A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.

Method, apparatus, and computer program product for detecting changes in road traffic condition

A system and method are disclosed for managing the wireless delivery of streaming media content to a user equipment (UE) device. A UE device establishes a network connection with a local wireless network, which in turn is associated with a wireless network region with a corresponding data infrastructure server. The UE device then requests predetermined streaming media content from the data infrastructure server. A determination is made whether the requested streaming media content is stored in transcoded form on the data infrastructure server. If so, then a control information network is implemented to transmit and receive streaming media content control data between the UE device and the data infrastructure server. In turn, the streaming media content control data is used by the data infrastructure server to control the transmission of the transcoded streaming media content over a data network for delivery to the UE device.

Mobile media content delivery

A method, apparatus and computer program product are provided to selectively utilize one or more networks in order to reliably communicate the information regarding one or more traffic signals and one or more intersections controlled by respective traffic signals. In the context of a method, the method includes communicating with a first network in order to receive information with a mobile platform regarding one or more traffic signals and information regarding one or more intersections. At least one traffic signal is associated with a respective intersection. The method also includes identifying a first switching condition and communicating with a second network, different than the first network, in order to receive the information regarding the one or more traffic signals and the information regarding the one or more intersections following identification of the first switching condition.

Method and apparatus for selectively using different types of networks to obtain information regarding one or more traffic signals and intersections

A method is provided, which includes scanning at least one radio frequency identification (RFID) tag to obtain an identifier of the RFID tag; querying a database using the identifier of the at least one RFID tag to collect information about a location of the at least one RFID tag; determining a bias of a vehicle relative to the location of the scanned at least one RFID tag; and calculating a location of the vehicle based on the bias and the location of the at least one RFID tag.

Method and system of location estimation and navigation of autonomous vehicles

Growing community of inventors

Northbrook, IL, United States of America

Arnold Sheynman