Abstract: Methods and systems for retrieving and compiling vehicle information from a variety of sources, and assessing circumstances or events based upon the vehicle information. A central entity, such as an insurance provider, may receive the vehicle information and avail information related to a plurality of vehicles to vehicle owners or operators in a single source dashboard. The central entity may assess the vehicle circumstances to determine whether to notify the individuals of an event, such as a vehicle recall or upcoming maintenance, and then generate notifications and communicate the notifications to the individuals. The notifications may enable the individuals to take maintenance, repair, update, and/or other actions to manage the circumstances and potentially avoid situations that may cause unnecessary financial commitments or vehicle damage.

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.

Abstract: A system for utilizing movement-based control data is presented. The system may include a control device configured to generate a control signal corresponding to at least one movement associated with the control device. The system may also include a target device. The target device may be configured to receive the control signal corresponding to the movement(s) associated with the control device. The target device may also be configured to process the control signal to determine at least one indication of the movement(s) associated with the control device. The target device may additionally be configured to determine at least one control command based on the at least one indication of the movement(s) associated with the control device. The target device may further be configured to execute the at least one control command so that at least one particular device is controlled based on the at least one control command.

Abstract: Systems and methods are described for providing alerts. In various aspects, sensor data is received at one or more sensors associated with a vehicle, where the sensor data defines an electronic vehicle environment that indicates an electronic location of the vehicle. An electronic pedestrian or cyclist location is identified within the electronic vehicle environment, which is determined by a mobile device associated with a pedestrian or cyclist. Where a determination is made that the pedestrian or cyclist meets predetermined alert criteria based upon the electronic vehicle location and the electronic pedestrian or cyclist location, an alert is generated that indicates the presence of the pedestrian or cyclist within the vicinity of the vehicle. The alert is presented on a display screen.

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, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

Abstract: 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.

Abstract: A system for movement-based device control is presented. The system may include a control device configured to generate a control signal corresponding to at least one movement associated with the control device. The system may also include a target subsystem located remotely from the control device. The target subsystem may be configured to change from operating in a manually-controlled mode to operating in a remotely-controlled mode in response to receiving a mode change signal from the control device. The target subsystem may also be configured to receive the control signal from the control device when operating in the remotely-controlled mode. The target subsystem may additionally be configured to determine, based on the control signal, at least one control command. The target subsystem may further be configured to cause the control command(s) to be executed so that the target subsystem is controlled according to the control command(s).

Abstract: A system and method for determining a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, the system comprising: a mobile device, comprising: one or more sensors associated with the mobile device and configured to automatically collect vehicle operation data during a data collection session; a processor; a non-transitory storage medium; a display; a transmitter; and a set of computer readable instructions stored in the non-transitory storage medium and when executed by the processor configured to allow the mobile device to collect vehicle operation data and transmit the collected vehicle operation data; and a remote processing computer, comprising: a server that receives collected vehicle operation data; a database that stores collected vehicle operation data; and a rating engine that determines a vehicle insurance premium based at least in part on collected vehicle operation data.

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 operating an autonomous or semi-autonomous vehicle may be provided. With a vehicle owner's permission, a vehicle operator identity may be determined; and operating data regarding the autonomous or semi-autonomous vehicle may be received from one or more vehicle-mounted sensors. Based upon the received operating data, (i) autonomous operation risk levels associated with autonomous vehicle operation; and (ii) operator risk levels associated with autonomous vehicle operation by the vehicle operator may be determined. Based upon a comparison of the autonomous operation versus vehicle operator risk levels, the autonomous features may be engaged if it is safer for the vehicle to travel autonomously.

Abstract: An alert may be triggered to notify a pedestrian of the current operational mode of a nearby vehicle. For instance, a vehicle may operate in an autonomous or manual mode, and may occasionally switch from one mode to the other. A pedestrian who may be unaware of the current operational mode of a nearby vehicle may notice the alert and proceed accordingly. In one embodiment, an indication of the current operational mode of the nearby vehicle may be transmitted to an electronic device associated with the pedestrian. The device may generate a notification to the pedestrian based on the current operational mode. In an additional or alternative embodiment, the alert may be transmitted by the vehicle externally to be visible or audible to the pedestrian. In some embodiments, the alert may be triggered only for particular operational modes (e.g., only for autonomous or only for manual).

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: A computer-implemented method for operating an autonomous or semi-autonomous vehicle may include identifying a vehicle operator and retrieving an associated vehicle operator profile. Operating data regarding operation of the autonomous or semi-autonomous vehicle may be received that includes data from sensors disposed within the vehicle. When a request to enable an autonomous operation feature is received, (i) autonomous operation risk levels associated with vehicle operation by the autonomous operation feature based upon the received operating data, and (ii) operator risk levels associated with vehicle operation by the vehicle operator based upon the vehicle operator profile are determined. Autonomous operation feature enablement may be allowed based upon a comparison of (i) autonomous operation risk levels with (ii) operator risk levels.

Abstract: Systems and methods for monitoring the use of a shared vehicle are described. In various aspects, telematics data regarding operation of a shared vehicle is collected from one or more sensors, where the shared vehicle is associated with a shared vehicle operator and a shared vehicle stakeholder. One or more processors determine whether a driving event has occurred based upon the telematics data, where the driving event is indicative of improper usage of the shared vehicle by the shared vehicle operator. The one or more processors generate a notification regarding the driving event. The notification includes a driver rating determined from the telematics data regarding operation of the shared vehicle by the shared vehicle operator. The notification is transmitted, via a network, to the shared vehicle stakeholder for presentation to the shared vehicle stakeholder.

Abstract: A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

Abstract: A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

Abstract: A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

Abstract: A system and computer-implemented method for processing large amounts of sensor data, in which anomalous data is identified and transmitted in real time to a remote location for processing, and non-anomalous data is stored locally for later transmission during an off-peak time. In an insurance implementation, a local device receives sensor data, and identifies and transmits the anomalous data, while a remote server receives and analyzes the transmitted anomalous data, and based at least thereon, recommends an insurance premium. The insurance premium may be for vehicle, property, or health or life insurance. The anomalous data may be defined objectively or subjectively, and may be identified by an artificial intelligence tool. The remote server may generate a report, which may include a score, and transmit the report to the local device for display. The remote server may base the report and the insurance premium on the combined anomalous and non-anomalous data.

Abstract: A method includes receiving vehicle sensor data from a second vehicle via one or more wireless signals. The vehicle sensor data is collected by a sensor that is located on or in the second vehicle and configured to sense an environment external to the second vehicle. The vehicle sensor data is received at an electronic processing system, and stored in a memory. A set of one or more characteristics of the environment external to the first vehicle is determined by processing the stored vehicle sensor data, and a risk indicator is determined based on the set of one or more characteristics, a risk indicator. An insurance rating for an insurance policy associated with the first vehicle is determined based on the risk indicator.

Abstract: An alert may be triggered to notify a pedestrian of the current operational mode of a nearby vehicle. For instance, a vehicle may operate in an autonomous or manual mode, and may occasionally switch from one mode to the other. A pedestrian who may be unaware of the current operational mode of a nearby vehicle may notice the alert and proceed accordingly. In one embodiment, an indication of the current operational mode of the nearby vehicle may be transmitted to an electronic device associated with the pedestrian. The device may generate a notification to the pedestrian based on the current operational mode. In an additional or alternative embodiment, the alert may be transmitted by the vehicle externally to be visible or audible to the pedestrian. In some embodiments, the alert may be triggered only for particular operational modes (e.g., only for autonomous or only for manual).

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.