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: Systems and methods for determining the performance of a driver of a vehicle based on changes, over time, in the context and environment in which the vehicle operates, and any resultant driver behavior are disclosed. A set of driver response data is created from based on an analysis of time-series data indicative of the driver's operation of the vehicle in conjunction with time-series data indicative of changes in the vehicle's context/environment. The driver response data indicates the types and magnitudes of the driver's responses to various changes in the vehicle's operating context/environment and the driver's time-to-respond for each of the responses. That is, the driver response data indicates how a driver compensated his or her behavior (if at all) in response to different changes in the vehicle's context and/or environment. The driver response data may be compared to one or more thresholds to determine the driver's performance.

Abstract: Systems and approaches relate to, inter alia, providing near real-time route safety and risk information. The systems and approaches may receive a request for a desired destination for vehicular travel. The systems and approaches may then access historical route data for a plurality of potential travel routes to arrive at the desired location and also access near real-time route data for the plurality of potential travel routes. The systems and approaches may further determine a risk index based on the historical route data and the near real-time route data, and present at least one travel route for the vehicle based on the calculated risk index.

Abstract: A method for electronically mining intellectual property using an associative discovery process may include determining a set of documents containing keywords and/or phrases associated with an industry trend of interest and, for each document, assigning a weight. The method may also include selecting a subset of the documents based at least upon the assigned weights, and determining a feedback score for each document in the subset. The method may further include determining an optimal weighing scheme for the determined keywords and/or phrases using a statistical learning model and the feedback scores, ranking all documents in the set of documents according to the optimal weighing scheme, and providing results of the associative discovery process to a user.

Abstract: A method includes, for each of two or more driving sessions in which a student driver operates a vehicle, gathering driving skill data indicative of at least one of behavior of the student driver, acceleration of the vehicle, braking of the vehicle, or steering of the vehicle, and generating a driving session report. The method further includes causing the driving session reports corresponding to the two or more driving sessions to be displayed to a driving instructor, and receiving comments from the driving instructor about the two or more driving sessions of the student driver. Still further, the method includes storing the driving session reports corresponding to the two or more driving sessions along with the received comments from the driving instructor.

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 and/or configuration of autonomous operation features of an autonomous or semi-autonomous vehicle may be determined, such as via an on-board computer system or mobile device, and/or then directly or indirectly wirelessly communicated via data transmission from the vehicle computer system or mobile device to a remote server. An adjustment to one or more risk levels associated with operation of the autonomous or semi-autonomous vehicle may also be determined, and an auto insurance policy, premium, or discount may be adjusted based upon the adjustment to the risk levels and presented to the customer for their review and approval. As a result, insurance cost savings may be passed onto risk averse customers that opt into to a rewards program.

Abstract: A method for providing vehicle operation data to a remote computer or server for calculation of a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, wherein the method includes steps of: collecting vehicle operation data via a mobile device while the mobile device is associated with an operating vehicle, wherein the vehicle operation data has insurance risk predictive power; and transmitting the collected vehicle operation data from the mobile device to a remote computer. The remote computer or server receives collected vehicle operation data, stores the collected vehicle operation data in a database, a determines a vehicle insurance premium via a rating engine based at least in part on collected vehicle operation data.

Abstract: Real-time feedback may be generated during a driving session from status data collected via one or more sensors. This feedback data may include various metrics related to a student's driving skills, which may be utilized to generate tagged driving events. A user may also manually enter tagged driving events. The tagged driving events may include real-time information based on the collected status data, such as acceleration, braking, cornering data, descriptions entered by the user. The location of these tagged driving events may be mapped in real time. Sensors used to collect this data may be integrated within the device displaying the feedback or located on another device, in which case the status data may be communicated to the device displaying the feedback. The displayed real-time feedback may be viewed by an instructor to assess a student's driving skills in real time and to calculate a driver feedback score.

Abstract: 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.

Abstract: A method for providing vehicle operation data to a remote computer or server for calculation of a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, wherein the method includes steps of: collecting vehicle operation data via a mobile device while the mobile device is associated with an operating vehicle, wherein the vehicle operation data has insurance risk predictive power; and transmitting the collected vehicle operation data from the mobile device to a remote computer. The remote computer or server receives collected vehicle operation data, stores the collected vehicle operation data in a database, a determines a vehicle insurance premium via a rating engine based at least in part on collected vehicle operation data.

Abstract: A method for determining a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, wherein a remote computer receives the collected vehicle operation data from a mobile device and calculates an insurance premium based at least in part on the collected vehicle operation data. A method for determining a vehicle insurance premium for a period of time based at least in part on collected vehicle operation data, wherein a server receives collected vehicle operation data, a database stores the collected vehicle operation data, and a rating engine determines a vehicle insurance premium based at least in part on collected vehicle operation data.

Abstract: During driving sessions, data may be collected via one or more sensors that are incorporated within a vehicle or as part of a device carried within the vehicle. Using this data, a driving session report may be generated and a driving session feedback score may be calculated, which provides feedback regarding a students' driving skills Driver profiles may be generated for each student including contact information and/or any number of driving session reports saved over the course of several driving sessions. A user interface is described that facilitates interaction by allowing a user to create driver profiles, group driver profiles, display driver profiles as a single list view or as a grouped list view, select driver profiles from these displayed lists, edit driver information and/or delete driver profiles, and display driving session reports stored as part of a driver profile together such that comparisons may be made.

Abstract: Systems and methods are disclosed for enhancing and developing a damage scene virtual reality (VR) visualization. Annotated immersive multimedia image(s) may be received from a first user, where the annotated immersive multimedia image(s) can be associated with a damage scene. A VR visualization of the annotated immersive multimedia image(s) may be rendered using a VR device associated with a second user. The VR visualization may be used to determine a damage amount, where the damage amount is determined from one or more damaged items identifiable in the annotated immersive multimedia image(s).

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).