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. In certain aspects, with the customer's permission, a computer-implemented method for updating an autonomous operation feature may be provided. An indication of a software update associated with the autonomous operation feature may be received, and several autonomous or semi-autonomous vehicles having the feature may be identified. The update may be installed within the several vehicles, such as via wireless communication. Also, a change in a risk level associated with the update to the autonomous operation feature may be determined, and an insurance discount may be determined or adjusted.

Abstract: A computer-implemented method of enhancing safe vehicle operation may include, one or more processors, (1) determining a preferred parking spot for an autonomous or semi-autonomous vehicle; (2) determining a route to the preferred parking spot from a driver drop off point; and (3) causing the autonomous or semi-autonomous vehicle to travel from the driver drop off point to the preferred parking spot following the route controlled by one or more autonomous operation features. The preferred parking spot may be a covered parking spot, a parking spot in a parking structure, or a parking spot in a residential garage. An autonomous vehicle owner may remotely direct the autonomous vehicle to autonomously return to the driver drop off point, such as via their mobile device. Insurance discounts may be provided to autonomous vehicle owners having the self-parking functionality that mitigates or prevents risk of damage to, or theft of, the vehicle.

Abstract: In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator, the environment ahead of the vehicle, and/or force in one or more directions. For each of a plurality of trips, an impairment score is generated by analyzing the data about potential vehicle operator impairment, and determining whether the vehicle operator was impaired during the trip by comparing the impairment score to a threshold value. A specific time period during which the vehicle operator tends to be most impaired is determined based on the determinations of whether the vehicle operator was impaired. Recommendations to reduce operator impairment of the vehicle operator are identified and communicated to the vehicle operator.

Abstract: The method, system, and computer-readable medium facilitates monitoring a vehicle operator during the course of vehicle operation to determine whether the vehicle operator is in an emotionally impaired state (e.g., aggressive or agitated) and presenting appropriate stimuli (e.g., music or sound recordings) to the vehicle operator when impairment is detected. The vehicle operator, the environment surrounding the vehicle, or forces acting on the vehicle may be monitored using a variety of sensors, including optical sensors, accelerometers, or biometric sensors (e.g., skin conductivity, heart rate, or voice modulation). When the vehicle operator is determined to be in an emotionally impaired state, stimuli are selected to improve the emotional state of the vehicle operator. The selection is based on sensor data and data regarding prior responses of the vehicle operator to various stimuli. After selection, the stimuli are presented to the vehicle operator while monitoring continues.

Abstract: The method, system, and computer-readable medium cause the monitoring of a vehicle operator during the course of vehicle operation to determine whether the vehicle operator is impaired and causes a mitigating response when an impairment is determined to exist. The vehicle operator, the environment surrounding the vehicle, or forces acting on the vehicle may be monitored using a variety of sensors, including optical sensors, accelerometers, or biometric sensors (e.g., skin conductivity, heart rate, or voice modulation). When the vehicle operator is determined to be impaired, an alert or other mitigating response is implemented, based on the sensor data. In some embodiments, mitigating actions may be taken to avoid vehicle operator impairment. In further embodiments, a training period may be used to generate a profile for the vehicle operator. In yet further embodiments, information regarding multiple types of impairments may be used to determine and implement an appropriate mitigating response.

Abstract: A data analysis method and computer system electronically mines potential intellectual property related to enterprise business needs. The method and system may utilize various text mining techniques to perform associative discovery, where existing enterprise documents or data are harvested and correlated with the latest industry trends in order to inspire new insights and stimulate the discovery of new or potential intellectual property. In one aspect, an area of interest may be identified. After which, identifiers associated with the area of interest, e.g., keywords and/or linking terms, may be determined. An enterprise database may be searched using the identifiers. The documents flagged by the search may be ranked with respect to their relevance to the area of interest based upon which and/or how many identifiers are contained within each respective document. The identification of highly relevant documents associated with an area of interest may lead to discovery of intellectual property.

Abstract: Methods and systems are described for providing vehicular alerts. In various aspects, a vehicle environment may be monitored using one or more sensors associated with a vehicle located in the vehicle environment. One or more pedestrians or cyclists within the vehicle environment may be identified based upon sensor data obtained from the one or more sensors. At least one of the pedestrians or cyclists may be determined to meet predetermined alert criteria based upon the sensor data. An alert indicating a presence of the pedestrians or cyclists may be generated and presented to an output device associated with the vehicle.

Abstract: Methods and systems are described for monitoring the use of a vehicle by multiple users. In various aspects, telematics data regarding operation of the vehicle may be collected by one or more sensors associated with a vehicle. The telematics data may be associated with a vehicle operator and also used to determine that a driving event has occurred. The driving event may indicate improper usage of the vehicle by the vehicle operator. A notification of the driving event may be generated and transmitted, via a network, to an interested party associated with the vehicle for presentation to the interested party.

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: Tagged driving events may be generated during a driving session from sensor data collected via one or more sensors and/or entered by an instructor. The tagged driving events may include a description of each driving event and its associated severity or weight as it relates to a scoring process as well as a time and/or a location of the driving event. A driving session report may be generated using the tagged driving events and may include a driver feedback score that is weighted based on the severity associated with each of the tagged driving events and/or the collected data, a map of the driving session route that indicates a map location of each tagged driving event, and/or a listing of each tagged driving event. The driving session report may be displayed such that a user may select a tagged driving event to view information associated with the tagged driving event.

Abstract: Methods and systems are described for generating a vehicle-to-vehicle traffic alert. Various aspects may include detecting that an abnormal traffic condition exists in an operating environment of a vehicle and generating a related electronic message. The electronic message may be transmitted via the vehicle's transceiver using a wireless communication to a nearby vehicle to alert the nearby vehicle of the abnormal traffic condition and to allow the nearby vehicle to avoid the abnormal traffic condition.

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: In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator with a first sensor, monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. A plurality of scores is assigned. Each of the plurality of scores corresponds to a respective impairment indicator, and wherein each of the plurality of scores is based on the data about potential operator impairment. An impairment score is generated by performing a mathematical operation on the plurality of scores. It is determined whether the vehicle operator is impaired by comparing the impairment score to a threshold value. Recommendations to reduce operator impairment of the vehicle operator are identified by analyzing the data about potential vehicle operator impairment.

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: 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: 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: In an embodiment, movement-data is gathered with one or more sensors (e.g., accelerometers, GPS receivers, etc.) during a driver's driving session. A score may be calculated for the driving session, and the driver's progress is evaluated by a driver-evaluation system. A driving session report or graphical user-interface (GUI) is generated with a computer processor and displayed at a display device. The displayed report or GUI includes a graphic representing the driver's progress relative to historical data.

Abstract: A gaze tracking system captures images of a vehicle operator. The gaze tracking system may detect facial features in the images and track the position of the facial features over time. The gaze tracking system may detect a triangle in an image, wherein the vertices of the triangle correspond to the facial features. The gaze tracking system may analyze the detected triangle to identify a surface normal for the triangle, and may track the surface normal (e.g., across multiple images) to track the eye gaze direction of the driver over time. The images may be captured and analyzed in near-real time. By tracking movement of the driver's head and eyes over time, the gaze analysis system may predict or estimate head position and/or gaze direction when one or more facial features are not detectable.

Abstract: In an embodiment, movement-data is gathered with one or more sensors (e.g., accelerometers, GPS receivers, etc.) during a driver's driving session. A score may be calculated for the driving session, and the driver's progress is evaluated by a driver-evaluation system. A driving session report or graphical user-interface (GUI) is generated with a computer processor and displayed at a display device. The displayed report or GUI includes a graphic representing the driver's progress relative to historical data.

Abstract: A gaze tracking system captures images of a vehicle operator's face using an image sensor device positioned within a vehicle. The gaze tracking system may be detect facial features from each image and track the position of facial features over time. The gaze tracking system may use the detected facial features to track the vehicle operator's head pose and gaze direction. The images may be captured and analyzed in near-real time. By tracking movement of the driver's head and eyes over time, the gaze analysis system may predict or estimate head position and/or gaze direction when one or more facial features are not detectable. The gaze tracking system may generate a report regarding the vehicle operator's gaze distribution. The report may be saved to memory and may be graphically displayed at a screen.