Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing vehicle sensor data utilized to develop collision profiles. These collision profiles may be helpful when analyzing a collision to determine conditions that preceded the collision, to determine fault, and/or to determine an extent of damage to one or more vehicles involved in the collision. The sensor data may be collected from any of a number of sensors configured to capture position, orientation, movement, acceleration, driver behavior, etc.

Abstract: 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 are provided. According to certain aspects, a computer-implemented method for communicating information regarding a smart infrastructure component to an autonomous or semi-autonomous vehicle may be provided. Sensors may be communicatively connected to an infrastructure communication device, and the infrastructure communication device may generate a message based upon information from the sensors and/or regarding the infrastructure component. The message may be transmitted, and, with the vehicle operator's permission, all or part of the determined message may be presented to the operator of the autonomous or semi-autonomous vehicle. The message may include weather, traffic, ice, or road condition or construction information and facilitate safer vehicle travel.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for insurance record management systems. The distributed ledger may be utilized to look up information pertaining to a person's insurance. For example, when a driver is pulled over by law enforcement for speeding, the driver may wish to verify an insurance policy by granting a law enforcement official permission to view his or her insurance records stored on the distributed ledger. Advantageously, the distributed ledger could consequently eliminate the need to carry physical proof of insurance.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart home data. Various entities may edit and/or access the distributed ledger, such as a server (e.g., of the insurance provider), a mobile device (e.g., a tablet, smart phone, or laptop of the insured or of a vendor), a desktop computer (e.g., of the insured or of a vendor), a smart device in a home (e.g., a smart thermostat, a smart carbon monoxide detector, a smart camera or microphone, or any other smart device), a home controller that manages other smart devices, a drone that surveys the home (e.g., for roof or siding damage), etc.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger for use with vehicle sensor data and usage based systems. These usage based systems may be opt-in programs wherein a driver volunteers to install one or more vehicle sensors configured to monitor various characteristics associated with a vehicle (e.g., speed, acceleration, cornering, braking, path, etc.) that are utilized to develop a profile including information quantifying, for example, a driver's habits. Advantageously for the driver, such a profile can be utilized to reward safe drivers with lower insurance rates, including lower usage-based insurance rates.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing claim payment activity. In particular, the distributed ledger may be utilized to track the status of a claim and to track payment activity associated with the claim. For example, the distributed ledger may be utilized to track estimates, offers, settlements, and payouts relating to insurance claims relating to injuries, property damage, (e.g., to homes, automobile, personal articles, or other insured assets), and other expenses (e.g., payments to vendors such as car repair shops, car rental companies, cleaning companies, contractors, etc.).

Abstract: Methods and systems for determining a cause of loss to a property for damage associated with an insurance-related event based upon data received from a second property. A smart home (or other building) controller and/or an insurance provider remote processor may generate a time sequence of events for damage associated with an insure-related event. The smart home controller or remote processor may also receive a time-sequence of events generated by a smart home controller associated with a second property. The smart home controller or remote processor may compare the two time-sequences of events to determine causes of loss associated with damage to the property. The compared data may be further used to assign a portion of the overall damage to each cause of loss. Subsequently, the smart home controller or remote processor may automatically generate an insurance claim for damage to the property associated with the insurance-related event.

Abstract: Methods and systems for assessing damage to a property associated with an insurance-related event are provided. According to certain aspects, a smart home controller or insurance provider remote processor may store data received from a plurality of smart devices disposed on or proximate to a property. The stored data may be used to develop a baseline for normal conditions associated with the property. When the insurance-related event is occurring, the smart home controller or insurance provider remote processor may receive a second set of data from the plurality of smart devices. The second set of data may be compared to the baseline to determine a sequence of events associated with the insurance-related event that caused the damage to the property. Subsequently, according to certain aspects, the smart home controller or insurance provider remote server may automatically generate an insurance claim for damage associated with the insurance-related event.

Abstract: Methods and systems for managing the operation of devices within a property, and processing insurance policies associated therewith. A property is populated with a plurality of smart devices, smart appliances, and/or other devices that are connected to, and/or in wired or wireless communication with a central controller, such as a smart home controller or insurance provider remote processor, whereby the plurality of devices and/or property are covered by an insurance policy. The central controller may collect sensor data from the plurality of devices and/or determine whether the property is occupied or not. The central controller may also identify a desired operating state of a device, generate a command according to the desired operating state, and/or transmit the command the device to facilitate prevention or reduction of risk or damage to the property. The central controller may also generate and/or process insurance claims associated with damage to the devices and/or property.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart vehicle data. The managed data may relate to a detected vehicle event, such as: a motion or position detected by a motion or position sensor as a GPS chip, an accelerometer, a compass, a speedometer, a gyroscope, etc.; braking detected by a braking sensor; turn input detected by a steering wheel sensor; wheel position detected by a wheel sensor; engine temperature detected by a temperature gauge; oil temperature detected by a temperature gauge; a seatbelt status detected by a seatbelt and/or seat sensor; etc.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for managing smart vehicle data. The managed data may relate to a detected vehicle event, such as: a motion or position detected by a motion or position sensor as a GPS chip, an accelerometer, a compass, a speedometer, a gyroscope, etc.; braking detected by a braking sensor; turn input detected by a steering wheel sensor; wheel position detected by a wheel sensor; engine temperature detected by a temperature gauge; oil temperature detected by a temperature gauge; a seatbelt status detected by a seatbelt and/or seat sensor; etc.

Abstract: 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 are provided. According to certain aspects, with the customer's permission, a vehicle operator in an autonomous or semi-autonomous vehicle may be determined by a sensor disposed within the autonomous or semi-autonomous vehicle or a mobile computing device associated with the vehicle operator. A determination may be made as to whether the vehicle operator is authorized to operate the vehicle based upon the determined identity of the vehicle operator; and if the vehicle operator is not authorized, an alert may be generated and/or the vehicle may be caused to not operate. Alternatively, autonomous operation features may be automatically engaged to automatically drive the autonomous or semi-autonomous vehicle to a safe location when the operator is not authorized. Insurance discounts may be provided based upon the anti-theft functionality.

Abstract: 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 are provided. According to certain aspects, a computer-implemented method for responding to damage to an autonomous or semi-autonomous vehicle relating to a collision or other loss may be provided. With the customer's permission, an indication of damage to the autonomous or semi-autonomous vehicle, and/or operating data regarding operation of the vehicle during (i) a time period without the damage to the autonomous or semi-autonomous vehicle, and (ii) a time period with the damage to the autonomous or semi-autonomous vehicle may be received. Repairs associated with the damage may be determined based upon the operating data, as well as an expected cost associated with the repairs. Insurance discounts may be provided to risk averse customers that timely repair damaged vehicles or features that impact vehicle safety.

Abstract: 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, with the insurance customer's permission, operation of an autonomous (or semi-autonomous vehicle) by a vehicle operator may be monitored. Based upon vehicle and/or other data analysis, an identity of the operator may be determined, and operating data regarding the autonomous or semi-autonomous vehicle while the operator at least partially controls the autonomous vehicle may be monitored. A vehicle operator profile that includes information regarding an operating style of the vehicle operator based upon the operating data may be determined. Risk levels associated with operation of the autonomous vehicle based upon the information regarding the vehicle operator's operating style may be determined.

Abstract: 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 are provided. According to certain aspects, a computer-implemented method for real-time determination of the status of autonomous operation features of an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, the operation of the autonomous or semi-autonomous vehicle may be monitored to obtain operating data from one or more autonomous operation features. An operating status of the autonomous features may be determined based upon the operating data. After which, a change in the operating status of the autonomous features may be identified, and a report containing information regarding the change in the operating status of the autonomous features may be generated.

Abstract: Systems and methods are disclosed with respect to using a distributed ledger, such as a blockchain, for facilitating carrier discovery. More specifically, the distributed ledger may be utilized to track insured individuals, their insurance policies, the insurance companies holding each of their policies, etc. This may be useful for facilitating exchange of insurance information between drivers after an automobile accident when drivers want to exchange insurance information and/or verify that the other is insured, facilitating subrogation (e.g., when an insurance company pays for an first insured party's losses but subsequently pursues reimbursement from an insurance company of a second at-fault party), and/or facilitating a determination of whether a driver has excess liability coverage.

Abstract: Methods and systems for processing insurance policies associated with properties may be provided. A property may be populated with a plurality of smart devices or devices that are connected to a central controller, such as via wired or wireless communication. The plurality of devices may be covered by an insurance policy, such as a homeowners, renters, or personal articles insurance policy. The central controller may detect an insurance-related event and may retrieve sensor data and pricing information from one or more of the devices. The central controller may assess damage to the devices and may generate a proposed insurance claim based upon damage to the identified devices. Additionally, the central controller may facilitate a processing of the proposed insurance claim with a customer and an insurance provider. The smart devices may be, or be attached to, appliances, electronics, computers, televisions, jewelry, vehicles, furniture, or other equipment or personal belongings.

Abstract: Methods and systems for automatically mitigating risks of insurance-related events to a property are provided. According to certain aspects, a smart home controller or insurance provider remote processor may analyze data received from a plurality of smart devices disposed on, within, or proximate to a property, as well as data received from an insurance provider. If it is determined that an actual or potential risk of property damage exists, the smart home controller or insurance provider remote processor may automatically issue commands to one or more smart devices to take actions that mitigate the risk. The smart home controller may also transmit information about the actual or potential risks and any mitigative actions to an insurance provider. The insurance provider remote processor may interpret the transmitted data to perform insurance activities, such as providing a discount and/or adjusting an insurance premium or policy associated with the property.

Abstract: 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, vehicle operation safety may be enhanced. An environmental or weather condition (e.g., hail, storm, wind) may be identified that presents a hazard to an autonomous or semi-autonomous vehicle. With the customer's permission, when it is determined that the vehicle is parked in an unprotected location, a protected or covered location to park the vehicle may be identified, a route to that location may be determined, and the vehicle may be directed to travel automatically to the protected location under the operation of autonomous operation features. Insurance discounts or cost savings may be provided to risk averse insurance customers based upon the self-parking functionality that will reduce or mitigate damage to insured vehicles caused by adverse conditions, falling trees or power lines, hail, etc.

Abstract: 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 are 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.