Abstract: Autonomous vehicle methods and systems are described herein for communicating with an autonomous or semi-autonomous vehicle to remotely control operation of the vehicle, to detect and remove unauthorized passengers, to deliver loads, to receive registration information for the vehicle, to provide accessibility information to the vehicle, and/or to receive sensor or other environmental data to integrate with an electronic game or other extended reality experience.

Abstract: The present disclosure generally relates to systems and methods for generating data representative of multi-product insurance discounts and related user interface displays. The systems and methods may include receiving personal data from an insurance customer and insurance product data. The systems and methods may further include generating data representative of multi-product insurance discounts based on personal data from an insurance customer and insurance product data. The systems and methods may further include generating displays of the multi-product discounts based on data representative of multi-product insurance discounts.

Abstract: Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.

Abstract: Systems and methods are provided for automatically actuating preexisting water shut-off valves upon detection of leak conditions. A coupling of a valve actuator is connected to a handle of the valve, such that a motor of the valve actuator causes the selective opening and closing of the valve. A controller obtains water flow data from a non-intrusive flow sensor (e.g., an ultrasonic sensor) clamped onto a pipe attached to the valve in close proximity thereto, as well as obtaining additional sensor data from remote sensors disposed elsewhere in the water supply system (e.g., pressure levels measured by an in-line pressure sensor). When the controller determines a leak condition exists based upon the water flow data and the additional sensor data, it controls the actuator to close the valve. The controller may also test for leaks by periodically shutting the valve and measuring the pressure while the valve is shut.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: Systems and methods for providing augmented reality overlay displays related to repairs may include obtaining sensor data associated with a home or vehicle and analyzing the sensor data associated to identify a vehicle component and/or home appliance that is not functioning properly. Repairs for the vehicle component and/or home appliance that is not functioning properly may be identified, and a determination may be made as to whether it is safe for a vehicle operator and/or home resident to perform the repair. If so, an augmented reality overlay display may be presented upon images/video of the vehicle/home captured in real time, identifying vehicle/home components that must be manipulated in order to perform the repair. If not, the augmented reality display may identify portions of the vehicle or home of which the vehicle operator must capture images in order to request a professional repair or submit an insurance claim.

Abstract: This disclosure describes example techniques for automatically configuring domain name system (DNS) servers to handle custom hostnames assigned to hosted zones. The techniques monitor DNS record sets of the hosted zones for special DNS records registering new hostnames. When such a special DNS record is detected, the central DNS server checks a database to see if that hostname is already assigned to another hosted zone. If the hostname is not assigned to another hosted zone, the central DNS server automatically updates its own DNS configuration data pair the new hostname with the Internet Protocol (IP) address of the hosted zone requesting the hostname. This allows the central DNS server to resolve future DNS queries for the new hostname by routing requests to the proper zone.

Abstract: A workbench application is configured to present an interactive search display that includes a search field, and perform, using a search engine and a set of one or more search terms entered in the search field by a user, a search of one or more databases that collectively store policy information for a plurality of insurance policies. The application also presents to the user results corresponding to information returned by the search of the database(s), with the results including an entry for a first person associated with at least one of the insurance policies, and an interactive control associated with the entry for the first person. The application also receives a user input specifying a particular relationship between the first person and a loss event, and identifies, based upon the relationship, one or more loss reporting fields of a loss reporting tool.

Abstract: Test cases written to test a software application can be dynamically distributed among different sets of test cases that can be executed simultaneously in different parallel threads, thereby speeding up testing relative to executing the test cases sequentially in a single thread. Although executing the test cases in parallel threads can cause the test cases to execute in a different order than intended by developers, any test cases that fail due to database conflicts or other errors as a result of the parallelization can be retried at least once. Re-executing failed test cases at a later time can lead to the full set of test cases ultimately succeeding, despite errors that may have been caused by the parallelization.

Abstract: Methods and systems for predictively generating an insurance claim in response to detecting an imminent insurance-related event are provided. According to certain aspects, a smart home controller or insurance provider remote processor may store a first set of data received from smart devices disposed on, or proximate to, a property. This data may be analyzed to detect that an insurance-related event is imminent and calculate a likelihood that a property owner will file an insurance claim in response to damage caused by the imminent insurance-related event. If there is a sufficient likelihood that an insurance claim will be filed, the smart home controller or remote processor may store a second set of data received from the smart devices. Subsequently, according to certain aspects, the second set of data may be analyzed to prepopulate an automatically generated insurance claim with information detailing damage to the property caused by the insurance-related event.

Abstract: The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data; builds a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including: (i) a structure, and (ii) a vegetation; and displays a representation of the 3D model.

Abstract: In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

Abstract: A transportation system for generating a transportation recommendation may (1) receive a transportation request; (2) identify, using the transportation request, a first geographic location and a second geographic location associated with the transportation request; (3) determine, using the first geographic location and the second geographic location, a plurality of routes between the first geographic location and the second geographic location: and/or (4) generate a sustainability impact score for each of the plurality of routes, The sustainability impact score may indicate an estimated climate impact of using at least one transportation modality to travel along the route. The transportation system may also (5) select a recommended route from the plurality of routes using the sustainability impact scores of the plurality of routes; and/or (6) generate a user interface providing the recommended route or otherwise present the recommend route and other information on a user device.

Abstract: Techniques for identifying faults in a collaborative computing system including a plurality of disparate, geographically separated computing systems are described herein. An intelligent monitoring (IM) server computing system may receive data from the plurality of computing devices and may monitor the health of the collaborative computing system. The IM server computing system may analyze the data and identify one or more faults associated with a portion of the collaborative system (e.g., an associated computing device, platform, network, etc.). In some examples, the IM server computing system may be configured to identify potential future faults associated with the portion of the collaborative system. Based on the fault, the IM server computing device may determine an action to take to remedy the fault and/or prevent the potential future fault. The IM server computing device may either automatically perform the action or send a notification to the associated computing system to perform the action.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: Systems and methods may be provided for providing dynamic user experience (UX) applications that may reduce burden upon application users by allowing querying and sharing of user information across multiple application interactions associated with a user. Furthermore, the systems and methods herein may provide security restrictions that protect potentially sensitive user information from erroneous user authentication.

Abstract: The following generally relates to using image classification techniques to determine the acceptability of form documents. In some examples, an image classification model may be trained to apply a first label to form documents that are acceptable and a second label to form documents that are unacceptable. In these examples, the image classification model may include a neural network, such as a convolutional neural network. Accordingly, the systems and methods generally relate to obtaining a submitted form document, inputting the submitted form document into the trained image classification model, and/or enforcing the acceptability decision of the image classification model.

Abstract: Annotations associated with test cases written to test a software application can allow related test cases to be dynamically distributed among different sets of test cases that can be executed simultaneously in different parallel threads, thereby speeding up testing relative to executing the test cases sequentially in a single thread. The annotations can also allow test cases to be identified that are relevant to code changes, such that testing times can be further reduced by executing a subset of test cases relevant to code changes instead of a full set of test cases.

Abstract: A method and system for associating information regarding an object with image objects is disclosed, wherein each image object is a visual data containers including an image associated with the object and data items relating to the object. A user may interact with a graphical user interface to create, modify, and associate image objects by means of the associated images. Information regarding the objects may be associated therewith by means of the image objects, and image objects may be associated with other image objects to generate associations between information regarding the underlying objects. Information regarding other image objects or the associated image may be used to determine information regarding the object, which may be associated with the image object. In some embodiments, associating two or more image objects may associate the underlying objects for purposes of insurance policies or may generate a new insurance policy based on the image objects.