Abstract: In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

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: A system and method are provided for controlling an interior configuration of a vehicle. The system may include an interior vehicle component, an actuator component configured to adjust a physical configuration of the interior vehicle component, an external communication component configured to collect driving environment data representing an external environment of the vehicle, and one or more processors configured to receive driving environment data and detect, by processing the driving environment data, an external driving condition. When the one or more processors detect the external driving condition, the one or more processors may cause the actuator component to adjust the interior vehicle component from a first physical configuration to a second physical configuration, or may cause the actuator component to restrict movement of the interior vehicle component to a predetermined range of physical configurations.

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, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

Abstract: Systems, methods, and techniques for determining optimal safe driving behaviors and optimal safety thresholds of the various parameters for particular routes are disclosed. Historical driver data for a plurality of drivers operating vehicles over various routes during different contextual situations and/or different combinations of conditions along the routes is analyzed to determine respective, relative weightings/contributions of various parameters towards driving safety. Data indicative of a particular driver's behavior along a particular route during a particular set of conditions or contexts is obtained and compared to the analysis results to thereby determine or assess the driver's safety performance. The driver's safety performance may be evaluated in real-time, e.g.

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: Disclosed systems and methods incorporate machine learning to assess damage to vehicles. An example method includes: accessing image data representing one or more digital images of damage to a vehicle; selecting, using one or more processors, an applicable machine learning algorithm from a plurality of different trained machine learning algorithms, wherein the plurality of different machine learning algorithms are trained for respective different combinations of one or more of vehicle make, vehicle model, vehicle year, or area of damage; processing the image data, with the applicable machine learning algorithm using one or more processors, to determine assessed damage for the vehicle; accessing actual damage information for the vehicle; determining, using one or more processors, differences between the actual damage and the assessed damage; and iterating, using one or more processors, the applicable machine learning algorithm based on the differences to improve its damage assessment accuracy.

Abstract: The provided examples of systems, devices and techniques improve systems and methods for keeping users of automatic drug delivery systems engaged and assisting with the optimal use of the drug delivery system. The automatic drug delivery system may include a drug delivery device and a controller. Through the use of an attrition prevention engine in a cloud-based services system that cooperates with an attrition prevention application executing on the controller of the drug delivery device, notifications that include instructions for adjusting operation of the drug delivery device as well as offer assistance to the patient to optimize performance of the drug delivery system for the patient may be provided. Optimizing the performance of the drug delivery system has been shown to prevent attrition of patients from using the drug delivery system.

Abstract: A system and method are provided for controlling an interior configuration of a vehicle. The system may include an interior vehicle component, an actuator component configured to adjust a physical configuration of the interior vehicle component, an external communication component configured to collect driving environment data representing an external environment of the vehicle, and one or more processors configured to receive driving environment data and detect, by processing the driving environment data, an external driving condition. When the one or more processors detect the external driving condition, the one or more processors may cause the actuator component to adjust the interior vehicle component from a first physical configuration to a second physical configuration, or may cause the actuator component to restrict movement of the interior vehicle component to a predetermined range of physical configurations.

Abstract: A system for movement-based device control is presented. The system may include a target device and a control device. The control device may be configured to determine an indication of the target device. The control device may also be configured to detect at least one movement associated with the control device. The movement(s) may correspond to at least one control command associated with the target device. The control device may additionally be configured to generate a control signal indicative of the control command(s) associated with the target device based on the movement(s) associated with the control device. The control device may also be configured to transmit the control signal indicative of the control command(s) associated with the target device to the target device based on the indication of the target device so that the target device is controlled according to the control command(s).

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, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

Abstract: Systems and methods may incorporate machine learning techniques to evaluate the extent of damage caused to vehicles involved in an accident. The system will receive photos of a vehicle involved in an accident and retrieve data from a number of different sources and use the data to calculate the cost of repair for the vehicle. Data sources can include information of vehicles involved in similar accidents, information of similar vehicles involved in accidents, virtual reality models of vehicles obtained from a database provided by the manufacturer, etc. The system will continuously update machine learning algorithms by comparing calculated damage to actual repair costs and further update the appropriate databases.

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 vehicle operation data may be analyzed to assess a performance of the driver during operation of the vehicle. Based on the performance of the driver, the driver may qualify for a reward.

Abstract: Systems, methods, and techniques for determining optimal safe driving behaviors and optimal safety thresholds of the various parameters for particular routes are disclosed. Historical driver data for a plurality of drivers operating vehicles over various routes during different contextual situations and/or different combinations of conditions along the routes is analyzed to determine respective, relative weightings/contributions of various parameters towards driving safety. Data indicative of a particular driver's behavior along a particular route during a particular set of conditions or contexts is obtained and compared to the analysis results to thereby determine or assess the driver's safety performance. The driver's safety performance may be evaluated in real-time, e.g.

Abstract: Systems and methods are described for performing blockchain validation of user identity and authority. In various aspects, the blockchain-based validation system includes: a server communicatively coupled to a blockchain-based network; and program instructions stored in a program memory that, when executed by the server, cause the server to: receive a blockchain ID associated with a user, wherein the blockchain ID is associated with a blockchain; aggregate a plurality of blockchain transactions, the plurality of blockchain transactions including at least a blockchain transaction associated with the blockchain; establish, based on the plurality of blockchain transactions, a trust relationship between the user and a second entity; and generate a trust profile for the user and the second entity based on the trust relationship, wherein the trust profile includes a level of trust between the user and the second entity based on the plurality of blockchain transactions.

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 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 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: Systems and methods for providing an aspirational safe driving incentive to drivers having the propensity or ability to improve high risk driving behaviors are provided. Drivers exhibiting high risk driving behaviors may be identified, and initial vehicle telematics data associated with each of the drivers may be collected and analyzed in order to determine which drivers have propensity or ability to improve their high risk driving behaviors. These candidate drivers may receive a probationary safe driving incentive along with feedback configured to improve the drivers' high risk driving behaviors. Updated vehicle telematics data associated with each candidate driver may be collected in order to evaluate an extent to which each candidate driver has improved his or her high risk driving behaviors. Accordingly, a candidate driver's probationary safe driving incentive may be modified or maintained based on the extent to which the candidate has improved upon high risk driving behaviors.

Abstract: Systems and methods are described for performing blockchain validation of user identity and authority. In various aspects one or more processors receive a first blockchain ID and a second blockchain ID, where each of the first blockchain ID and the second blockchain ID is associated with a user and is further associated with a first and second blockchain, respectively. A plurality of blockchain transactions may be aggregated where the plurality of blockchain transactions includes at least a first blockchain transaction associated with the first blockchain and a second blockchain transaction associated with the second blockchain. A first validation event providing a first indication of validity for the user may be identified based on the first blockchain transaction or the second blockchain transaction.