State Farm Mutual Automobile Insurance Company

Zetr Pty Ltd

Kristopher Keith Gaudin

Leo Nelson Chan

Steven C Cielocha

Justin Davis

Brian Mark Fields

John Adrian Nepomuceno

Matthew S Megyese

Edward P Matesevac

Jennifer Criswell Kellett

William J Leise

Roxane Lyons

Jeremy Myers

Rajiv C Shah

Jennifer L Crawford

Jacob J Alt

Nathan Wilhelm Baumann

Mohamed A Wazeer

Laura Anne Uphoff

Giles Roll

Aaron C Williams

Craig Benjamin Cope

Tracey Dunne

Scott T Christensen

Nathan Lee Tofte

Steve Roberson

Joseph P Harr

Michael L Bernico

Andrew Joseph Zeglin

Duane Christiansen

Connor Warren McCloskey

Cameron John Herbert

Ryan Michael Gross

Michael K Cook

Jessica Lynn Shull

Steven Stiles

Melissa C Miles

Connor Brooks

Daniel Roberson

Adam Joseph Ariola

Lee Michael Drinkwater

Geoff Segal

Alice Chi

Michael D Doiron

Rebecca L Gruen

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 system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

Automatically tracking driving activity

Methods, systems, apparatus, and non-transitory computer readable media are described for using a vehicle as a payment device. Various aspects may include receiving a selection of a stored financial card or financial account at a vehicle head unit. The selected financial card or financial account may be transmitted to a point-of-sale (POS) terminal for making a payment by transmitting a tokenized card number to the POS terminal. The tokenized card number may be transmitted over a very short-range communication link to ensure that the transmission is secure. For example, electronic circuitry may be attached to the exterior of the vehicle, where the electronic circuitry may be within a threshold distance (e.g. one inch, three inches, six inches, one foot, three feet, etc.) of the POS terminal. The tokenized card number may be transmitted from the vehicle head unit to the electronic circuitry and then to the POS terminal.

Connected car as a payment device

A method includes determining a fuel amount; providing navigation directions; determining a vehicle arrival; transmitting a fuel purchase request; controlling a tank cover; receiving fuel; detecting that a tank is full; and transmitting a stop fueling request. A computer system includes a processor configured to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that a tank is full; and transmit a stop fueling request. A non-transitory computer-readable medium storing thereon a set of instructions that, when executed on a processor, causes the processor to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that fuel tank is full; and transmit a stop fueling request.

Connected vehicle for providing navigation directions to merchant terminals that process vehicle payments

Merchant terminal for receiving payment from a vehicle

Systems and methods may analyze property telematics data, with homeowner permission or affirmative consent, to update risk-based coverage of a property, such as a house, during a short-term rental. The systems include a renter analytics computing device, a plurality of property telematics devices at the property, including at least one sensor, and a property telematics controller. The renter analytics computing device is configured to retrieve a pre-rental record including parameters of a short-term rental of the property, and retrieve property telematics data, from the property telematics devices, associated with the short-term rental. The renter analytics computing device may develop a risk level profile associated with the short-term rental and determine an adjusted coverage rate to cover the property during the short-term rental. As a result, a homeowner of the property may be protected against damages incurred to the property during the short-term rental.

Systems and methods for analyzing property telematics data to update risk-based coverage of a property

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

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

Systems and approaches relate to, inter alia, identifying customer opportunities. The systems and approaches may monitor a plurality of routes traversed by a vehicle. The systems and approaches may then access historical route data for the plurality travel routes. The systems and approaches may further calculate a risk index based on the historical route data, and determine at least one customer opportunity based on the calculated risk index.

Technology for analyzing previous vehicle usage to identify customer opportunities

Methods and systems are described for generating a vehicle-to-vehicle traffic alert and updating a vehicle-usage profile. Various aspects include detecting, via one or more processors associated with a first vehicle, that an abnormal traffic condition exists in an operating environment of the first vehicle. An electronic message is generated and transmitted wirelessly, via a vehicle-mounted transceiver associated with the first vehicle, to alert a nearby vehicle of the abnormal traffic condition and to allow the nearby vehicle to avoid the abnormal traffic condition. The first vehicle receives telematics data regarding operation of the nearby vehicle after the nearby vehicle received the electronic message, and transmits the telematics data to a remote server for updating a vehicle-usage profile associated with the nearby vehicle.

Vehicular traffic alerts for avoidance of abnormal traffic conditions

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

System for determining road slipperiness in bad weather conditions

Growing community of inventors

Bloomington, IL, United States of America

Kristopher Keith Gaudin