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: 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 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: 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.

Abstract: Methods and systems are disclosed for providing vehicular driver alerts. In various aspects a vehicle operating environment may be monitored by one or more sensors associated with a first vehicle operating within the vehicle operating environment. The first vehicle may be determined to be in proximity to a second vehicle based upon sensor data obtained from the one or more sensors. An identifier associated with the second vehicle may be determined based upon the sensor data and the identifier may be used to receive evaluation data associated with the second vehicle. The evaluation data may indicate a quality level associated with operation of the second vehicle. Based upon the evaluation data, it may be determined that the second vehicle is associated with a heightened risk of a vehicle accident. A warning regarding the heightened risk may be generated and presented, by an output device, to a vehicle operator of the first vehicle.

Abstract: A method includes receiving data about potential impairment of a vehicle operator, wherein the data about potential impairment is generated by: (i) monitoring the vehicle operator with a first optical sensor, and (ii) monitoring an environment ahead of a vehicle operated by the vehicle operator with a second optical sensor. The computer-implemented method further includes assigning a plurality of scores based on the data about potential impairment, wherein each of the plurality of scores corresponds to a respective impairment indicator, and determining an impairment score for the vehicle operator by performing a mathematical operation on the plurality of scores, the impairment score summarizing a level of impairment of the vehicle operator.

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: Apparatuses, systems and methods are provided for generating data representative of a vehicle operation mode. More particularly, apparatuses, systems and methods are provided for generating data representative of a vehicle operation mode based on vehicle interior image data. The vehicle interior data may be representative of a three-dimensional coordinate spatial location of at least one joint of a vehicle occupant. The three-dimensional coordinate spatial location of the at least one joint of the vehicle occupant may be tracked over time.

Abstract: Methods and systems for analyzing vehicle operation data associated with a temporary or periodic usage of a vehicle by a driver. In aspects, the driver may associate with an electronic device within the vehicle that may record or collect the vehicle operation data. After the vehicle operation has concluded, the vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle, whereby the performance may be influenced by positive or negative driving events. Based on the performance of the driver, a profile or account of the user may be processed accordingly such that the user may be incentivized to modify certain driving behaviors.

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.