State Farm Mutual Automobile Insurance Company

Blueowl, LLC

Other

Quanata, LLC

Aaron Scott Chan

Kenneth Jason Sanchez

Brian Mark Fields

Mohamed A Wazeer

Steven C Cielocha

Todd Binion

Ronny S Bryant

Torri Wollenschlager

Shawn C Bennett

Weixin Wu

Stacey Gorsuch

Carol Marie Csanda

Terry Quakenbush

Richard A Novak

Craig M Main

Chien Che Huang

Stephen A Kohaus

John Adrian Nepomuceno

Christina P Mullen

Rosemarie Geier Grant

Cynthia L Garretson

Matthew Christopher Jon Donovan

Steve Cielocha

Matthew R Baker

Matthew Zettinger

Steve Roberson

Taylor Michael Thiel

Mihir Dilip Angal

Samuel C Weeks

Thasphon Chuenchujit

Kelsey Catherine Yoshie Stiles

Allison Lynne Diaz

Alisha Deshmukh

Akash Duseja

Utku Pamuksuz

Jeremy Shawn Fogg

Lynn Splittstoesser

Dirk Patrick Maloney

Gina Taylor

Saivikas Thalluri

Chase Southwood

Jie Yan

Sukeerthi Khadri

Sanjay Jayaswal

Muhammad Ibrahim Saeed

Narendra Anilal

William Cho Hseih

Richard Zhou

Yue Liu

Scott T Christensen

Anuj Dahiya

Pravita Tolanavar

Yuhao Zhou

Yuetong Xing

Keely Renwick

Abhinav Rai

Shashwat Gupta

Sanjiv Kumar

Vibhakar V S Vemulapati

Harshit Agarwal

Jackie O Jordan, Ii

Justin Davis

Sripriya Sundararaman

Aditya Subramanian

Ben Blaisdell

Vibhakar Vemulapati

Simon Reed

Ashley Anne Pettit

Mary Kay Gonet Quist

Systems and methods for improving vehicular safety are provided. According to certain aspects, an electronic device may receive and analyze image data depicting an individual located within a vehicle. The electronic device may also access certain data related to a condition of the individual, and may accordingly determine whether the individual is fit to operate the vehicle. If the individual is unfit to operate the vehicle, the electronic device may alter autonomous operation of the vehicle.

Apparatuses, systems and methods for improving operation of autonomous vehicles

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

An insurance computing device is provided. The insurance computing device may include a processor and a memory. The processor may be programmed to receive a registration request from a vehicle computing device associated with a vehicle and/or a covered parking location (CPL) computing device associated with a covered parking location, generate a usage profile associated with at least one of the vehicle and the covered parking location, monitor the vehicle computing device and/or the CPL computing device for any requests to reserve an available parking spot of the covered parking location, update the usage profile, determine if an insurance policy associated with the vehicle and/or the covered parking location is eligible for insurance-related benefits based upon the usage profile.

Systems and methods for weather-related vehicle damage prevention

A computer-implemented method is provided for predicting occupant location based on vehicular collision. The method includes receiving, at a computing system including one or more processors, information indicative of a vehicle crash involving a vehicle occupant. The method also includes receiving, at the computing system, information indicative of a position of the vehicle occupant within the vehicle prior to the vehicle crash. The method also includes determining, by the one or more processors, a probability of ejection of the vehicle occupant according to (i) the information indicative of the vehicle crash and (ii) the position of vehicle occupant. The method also includes providing, by the computing system, the probability of ejection of the vehicle occupant to one or more emergency responders.

Systems and methods for predicting occupant location based on vehicular collision

Apparatuses, systems and methods are provided for generating and transmitting data representative of a vehicle operation mode. More particularly, apparatuses, systems and methods are provided for generating data representative of a vehicle operation mode based on vehicle interior image data.

Apparatuses, systems and methods for generation and transmission of vehicle operation mode data

Apparatuses, systems and methods are provided for generating a vehicle driver signature. More particularly, apparatuses, systems and methods are provided for generating a vehicle driver signature based on current image data, previously classified image data, and vehicle dynamics data.

Apparatuses, systems and methods for generating a vehicle driver signature

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations including: receiving sensor data detected by one or more image sensors in a vehicle, wherein the sensor data is representative of driver movements of a driver in the vehicle; categorizing the sensor data as driver postures representative of actions of the driver in the vehicle; rotating and scaling the driver postures to be standardized for different drivers and for different locations of the one or more image sensors within different vehicles; analyzing the sensor data to determine a reference position of the driver in the vehicle; and storing, in a database, the driver postures, as rotated and scaled, and the reference position of the driver in the vehicle. Other embodiments are disclosed.

Apparatuses, systems, and methods for detecting vehicle occupant actions

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

Apparatus, systems and methods for classifying digital images

Systems and methods for transferring autonomous driving preferences between vehicles are provided. For example, a vehicle operator may borrow a friend's or spouse's vehicle, or may rent a vehicle, and may wish to transfer his or her autonomous driving preferences to the vehicle he or she is currently operating. An autonomous driving preference associated with an operator of a first vehicle is obtained. The autonomous driving preference includes vehicle controls that the operator prefers to be operated autonomously, semi-autonomously, and/or manually. When the operator of the first vehicle is to operate a second vehicle or is currently operating a second vehicle, an indication of the autonomous driving preference associated with the operator is transmitted to the second vehicle, and the vehicle controls associated with the second vehicle are modified based on the autonomous driving preference associated with the operator.

System and method for transferring preferences for autonomous driving

An interaction detection and analysis ('IDA') computing device that includes at least one processor in communication with at least one memory device is provided. The at least one processor being configured to store software ecosystem data, environmental condition data, and performance data in a plurality of data records in a database, wherein each data record i) is associated with one autonomous vehicle (AV) of a plurality of AVs and ii) includes the software ecosystem data, the environmental condition data, and the performance data of the corresponding AV; apply at least one machine learning algorithm to a set of the plurality of data records to identify an interaction between at least one software application and at least one environmental condition resulting in a particular outcome; and transmit, to at least one AV associated with the set of data records, at least one alert message advising of the particular outcome.

Systems and methods for detecting software interactions for autonomous vehicles within changing environmental conditions

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

Apparatuses, systems and methods for classifying digital images

A vehicle weather damage-prevention system is provided. The system may include a vehicle computing device associated with a vehicle, a covered parking location (CPL) computing device associated with a covered parking location, and an insurance computing device. The vehicle computing device may receive weather data and determine whether the vehicle is affected by inclement weather. The vehicle computing device may receive from the CPL computing device information indicating whether the covered parking location has available parking spots. The vehicle computing device may transmit a request to the CPL computing device to reserve a parking spot. The CPL computing device may selectively permit the vehicle access to the covered parking location. The insurance computing device may monitor the vehicle computing device and/or the CPL computing device and determine if an insurance policy is eligible for insurance-related benefits based upon a usage profile of the vehicle or the covered parking location.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

Autonomous vehicle insurance based upon usage

A system for validating automated vehicle data transmission capabilities of a vehicle is provided. The system includes a vehicle data transmission diagnostics (VDTD) server in communication with the vehicle and a plurality of roadside evaluation units. The VDTD server includes at least one processor and at least one memory device, and is programmed to: (i) determine that a data latency risk evaluation (DLRE) should be performed for the vehicle, (ii) transmit a DLRE request to the vehicle, (iii) receive, from the vehicle, a response to the transmitted DLRE request including trip data, the trip data including a selected route to be taken by the vehicle, (iv) interrogate the plurality of roadside evaluation units based upon the received trip data, and (v) select, based upon the interrogation, one of the plurality of roadside evaluation units to be a data latency evaluation checkpoint for the vehicle during the upcoming trip.

Systems and methods for selecting locations to validate automated vehicle data transmission

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features arm provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Autonomous vehicle accident and emergency response

Growing community of inventors

Lisle, IL, United States of America

Aaron Scott Chan