State Farm Mutual Automobile Insurance Company

Crown Packaging Technology, Inc.

Crown Cork & Seal Technologies Corporation

Brian Mark Fields

Steven C Cielocha

Steve Roberson

Todd Binion

Aaron Scott Chan

Mohamed A Wazeer

Ronny S Bryant

Stacey Gorsuch

Carol Marie Csanda

Torri Wollenschlager

Weixin Wu

Shawn C Bennett

Richard A Novak

Craig M Main

Chien Che Huang

Stephen A Kohaus

Terry Quakenbush

Kristopher Keith Gaudin

Leo Nelson Chan

Jacob J Alt

Bryan Allen Plummer

Scott T Christensen

Justin Davis

Aaron C Williams

Joe Harr

Nathan Wilhelm Baumann

Laura Anne Uphoff

Lee Marvin John Assam

Jibo He

Giles Roll

John Adrian Nepomuceno

Nicholas R Baker

Jufeng James Peng

Stephen R Prevatt

Steve Cielocha

Jeremy Myers

J Lynn Wilson

Steve J Balbach

Abhishek Harish

Hyunji Lim

Matthew James Waughtel

Parker Andrew Brown

Nathan Lee Tofte

Joseph P Harr

Kenneth Jason Sanchez

Benjamin F Bowne

Matthew Eric Riley, Sr

David W Thurber

Duane Lee Marzinzik

Martin John Watson

Andrew Robert Lockley

Bryan T Wilkerson

Matthew Christopher Jon Donovan

Vicki King

Nick U Christopulos

Kelly S Minter

Kurtis C Houdek

Neeraj Jain

Heidi Brown-McCreery

Andrea Lee Rhoades

Jufeng “James” Peng

Christopher Paul Ramsey

Mark E Clauss

Kyle Pott

Duane Christiansen

Matthew R Baker

Matthew Zettinger

Kerry Cote

Michael L Bernico

Matthew S Megyese

Michael Harris, Jr

Brendan Keane

Steven Joseph Balbach

Mihir Dilip Angal

Michael DiBenedetto

Audrey Schwartz

Samuel C Weeks

Thasphon Chuenchujit

Kelsey Catherine Yoshie Stiles

Allison Lynne Diaz

Alisha Deshmukh

Julian Coltea

Akash Duseja

Diana Sherwood

Mark O'Flaherty

Garry Richard Chant

Jason Freeck

James P Rodriguez

Michael Harris

Anna Zarkoob

Joseph Robert Brannan

Nicholas U Christopulos

Christina P Mullen

Laura Jane McGirr

Gregory L Hayward

Shawn M Call

Jaime Skaggs

Daniel Wilson

Jessica Lynn Shull

Richard Mark Orlando Golding

Systems and methods for automatically evaluating a vehicle seat replacement after a vehicle collision. Upon detecting a vehicle collision is detected, obtaining vehicle seat condition data from vehicle seat sensors and vehicle condition data from vehicle sensors. Analyzing the vehicle seat condition data and/or the vehicle condition data to detect one or more collision conditions indicating (i) the vehicle is not drivable, (ii) a vehicle door proximate the vehicle seat is damaged, (iii) an airbag of the vehicle is deployed, and/or (iv) the vehicle seat is visibly damaged. In response to detecting the one or more collision conditions, generating a recommendation to replace the vehicle seat and providing the recommendation to a user device.

Methods and systems for automated vehicle seat replacement

A computer-implemented method for determining a quality of driving of a vehicle is presented. Information indicating at least one driving condition may be received from at least one driving condition information indicating device. The at least one driving condition may be different from each of a plurality of driving metrics, and may affect a relationship between the quality of driving and at least one of the plurality of driving metrics. Information indicating the at least one driving metric may be received. At least one indication of the quality of driving of the vehicle may be determined based on the information indicating the at least one driving metric and the received information from the at least one driving condition information indicating device. The at least one indication of the quality of driving may be provided to at least one of the driver, a driving instructor, or an insurance provider.

System and method for determining a quality of driving of a vehicle

Vehicles may have autonomous capabilities that permit the vehicle to navigate according to varying levels of participation by a human operator. A human operator may be associated with a driving capability profile and the environment surrounding a vehicle may be associated with an environmental risk profile. A vehicle, or another party in communication with a vehicle, may determine whether, based on the human operator's driving capability profile and the environmental risk profile, it is likely that the vehicle will be navigated more safely if there is a change to the vehicle's autonomous capabilities and a corresponding change to the human operator's driving responsibilities. If it is determined that a change in autonomous vehicle capability is likely to increase safe navigation of the vehicle, an insurer may offer an insurance premium cost reduction if the human operator agrees to the proposed change in autonomous capabilities.

Determining risk for a user of an autonomous vehicle

A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family/friends via a social networking application. For instance, 'stories functionality' is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and/or otherwise record video stories, memories, and/or life experiences for sharing with their family and friends within the social networking application.

Systems and methods for relational video data storage

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

Autonomous vehicle control assessment and selection

An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.

Systems and methods for evaluating autonomous vehicle software interactions for proposed trips

The following generally relates to using Augmented Reality (AR) to enhance pedestrian navigation. In some examples, AR techniques are applied to provide AR indications of a location of a group member that includes two or more AR devices. In these examples, AR techniques may be applied to determine a relative position of the group member and/or provide navigational guidance to the group member. In other examples, AR techniques are applied to provide AR-assisted pedestrian guidance. In these examples, AR techniques may be applied to present an AR display that includes information for a point of interest along a route.

Systems and methods for pedestrian guidance via augmented reality

A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Systems and methods to assess the condition of a vehicle

Systems and methods for an artificial intelligence (AI)/machine learning (ML) chatbot for intelligent negotiation of terms is disclosed herein. An exemplary computing system includes one or more processors; and a memory storing executable instructions thereon. When executed by the one or more processors, these instructions may cause the one or more processors to: receive, from a first contracting party during a negotiating period, a plurality of prospective terms for a contractual agreement; and determine, via an AI chatbot, whether the plurality of prospective terms are acceptable terms based on a plurality of parameters indicated by a second contracting party. Responsive to determining that the plurality of prospective terms are unacceptable terms, the instructions may further cause the processors to generate, via the AI chatbot, a plurality of counter terms based on the plurality of parameters; and transmit the plurality of counter terms to the first contracting party.

AI/ML chatbot for negotiations

Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.

Manual control re-engagement in an autonomous vehicle

In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

Driver re-engagement system

A system for detecting water damage to a structure may include a plurality of energy-harvesting sensors on or within the structure, each sensor being configured to (i) generate sensor data indicative of one or more characteristics of air, construction materials, and/or water within the structure and (ii) generate power for operating the sensor responsively to an external stimulus other than an electrical power source. One or more processors of the system receive sensor data generated by the energy-harvesting sensors, detecting water damage to the structure by analyzing at least the sensor data, and cause an indication of the detected water damage to be presented to a user.

Systems and methods for detecting water damage using energy-harvesting sensors

The following generally relates to using Augmented Reality (AR) to enhance the in-vehicle experience. In some examples, AR techniques are applied to provide AR indications of vehicle safety indicia to alert vehicle occupants to information that may not otherwise be perceptible. In other example, AR techniques are applied to provide emergency vehicle warnings to improve the likelihood of safe responses thereto. In yet other examples, AR techniques are applied to generated personalized outdoor displays, for example, to ameliorate conditions that may impair safe operation of a vehicle.

Systems and methods for in-vehicle driver assistance via augmented reality

A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.

Assessing driver ability to operate an autonomous vehicle

Growing community of inventors

Normal, IL, United States of America

Brian Mark Fields