Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: It is described at least a method for performing vehicle operation analysis of a driver, comprising retrieving data related to the operation of the vehicle via a mobile device, wherein the mobile device is placed inside the vehicle and the retrieved data is data that is at least provided by data providing units included in the mobile device; adding a driver-specific identifier to the retrieved data which identifies the driver of the vehicle irrespective of the vehicle that is used; performing analysis of the retrieved data in the mobile device, and/or sending the retrieved data to a remote computer and performing analysis of said data in the remote computer, wherein the analysis includes extracting driver-specific vehicle operation schemes and/or calculating a driver-specific safety factor.

Abstract: Systems and methods may analyze property telematics data, with homeowner permission or affirmative consent, to update risk-based coverage of a property, such as a house, during a short-term rental. The systems include a renter analytics computing device, a plurality of property telematics devices at the property, including at least one sensor, and a property telematics controller. The renter analytics computing device is configured to retrieve a pre-rental record including parameters of a short-term rental of the property, and retrieve property telematics data, from the property telematics devices, associated with the short-term rental. The renter analytics computing device may develop a risk level profile associated with the short-term rental and determine an adjusted coverage rate to cover the property during the short-term rental. As a result, a homeowner of the property may be protected against damages incurred to the property during the short-term rental.

Abstract: A computer system for creating driving tournaments for users including a processor in communication with a memory device is provided. The processor may be programmed to: i) receive user data associated with a plurality of users, ii) generate, based at least in part upon the received user data, a driving profile including driving characteristics of each user, iii) match users based at least in part upon the driving profiles of the users, wherein a match occurs when driving characteristics of the driving profiles are substantially similar, iv) create a driving tournament for the matched one or more users, v) receive current vehicle telematics data and current mobile device data associated with the matched one or more users, and vi) determine, after the predetermined time period has ended, a winner of the driving tournament.

Abstract: A method for real-time processing of resource requests is disclosed. The method includes: detecting a trigger action initiated on a client device associated with an entity, the trigger action being detected based on input received via the client device; in response to detecting the trigger action, providing, via a user interface on the client device, selectable options corresponding to one or more preferred rates of resource borrowing; receiving, via the client device, a dealer lead input including selection of a vehicle, an indication of a first preferred rate of resource borrowing, and an identifier of a dealer for the selected vehicle; and providing, via an interface associated with a service for generating resource requests, an option for the identified dealer to select the first preferred rate of resource borrowing for a resource request in connection with the selected vehicle, the option being accessible only by the identified dealer.

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 system for instructing a user on repairing a vehicle configured to (i) receive, from the user, a request to repair a vehicle, including information about the vehicle; (ii) present, to the user via a user computer device, a user interface to allow the user to search for a repair facility to repair the vehicle; (iii) receive, from the user via the user interface, a selection of a repair facility; (iv) determine whether the selected repair facility is a select service location, where a select service location is a pre-authorized repair facility; and (v) if the selected repair facility is a select service location, transfer the information about the vehicle to a computer device associated with the selected repair facility.

Abstract: A property damage assessment system may include a drone. The drone may include imaging equipment and a controller. The controller may include a device processor and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving imagery data of property from the imaging equipment of the drone; and automatically controlling the drone to obtain additional imagery data of the property based on the received imagery data.

Abstract: A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

Abstract: A system and method for providing analytical insights on real estate investment opportunities. When scouting for real estate investment opportunities, investors are mainly interested in its financial aspects, for example, its estimated performance and how its performance and risk compare against those of other real estate and non-real estate investment opportunities such as equities and bonds, etc. The system was conceived and developed to provide real estate investors with novel insights on such financial aspects so that they can make informed decisions. The system includes an import module that can be connected to a real estate database for importing real estate listings. The system receives a selection of property from an investor and pulls the real estate listing's data related to that property. The system processes real estate listing's data to obtain novel analytical insights. Each analytical insight is presented as a widget on an interface.

Abstract: A system for providing real-time bi-directional charge capture-centralized conversation between Billing and Provider entities, comprising a first computer apparatus with a computer apparatus charge capture module installed and a second computer apparatus with a computer apparatus billing module installed that are used to transmit and/or receive real-time charge capture centralized conversation data. Real-time charge capture-centralized conversation data is comprised of real-time charge capture data. The real-time charge capture data and the real-time charge capture-centralized conversation data can be combined to create real-time claim data. The system further comprises first computer apparatus and second computer apparatus receipt and transmission via secured communication links. The real-time charge capture data, real-time charge capture-centralized conversation data and real-time claim data is presented in a social media conversation style format.

Abstract: A device receives a vehicle inspection report submission including imaging information identifying a set of images of a vehicle from a user device, and identifies and obtains, from a data structure, a set of stored vehicle attributes relating to a previous condition of the vehicle. The device determines, based on the set of images and using computer vision processing, a set of identified vehicle attributes that relate to a present condition of the vehicle. The device selectively validates, based on the set of identified vehicle attributes and the set of stored vehicle attributes and based on location information identifying the user device within a threshold proximity of the vehicle when the set of images were captured, the vehicle inspection report submission. The device transmits information identifying a result of selectively validating the vehicle inspection report submission, selectively updates the vehicle attribute record, and selectively provides the updated vehicle attribute record.

Abstract: A device can receive parking metadata that includes location data indicating that a portion of a vehicle is located outside of a designated parking area (DPA). The device can process the parking metadata to identify values that are to be used when determining actions to perform. The device can obtain supplemental events data associated with events occurring near the DPA. The device can determine the actions to perform based on the parking metadata and the supplemental events data. The device can provide, as one of the actions and to one or more other devices or to the vehicle, a message indicating that the portion of the vehicle is located outside of the DPA. This can cause the one or more other devices or the vehicle to: move the vehicle from the DPA, reposition the vehicle within the DPA, or penalize an owner of the vehicle.

Abstract: Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . .

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: A credibility evaluation device for evaluating a credibility of a user who uses a service provided by a communicable structure includes a processor including hardware. The processor is configured to: acquire structure information on the structure during and after use of the service by the user and third-party evaluation information including evaluation about the structure made by a third party other than the user after use of the service by the user; and calculate the credibility of the user, based on at least one of the structure information and the third-party evaluation information.

Abstract: A computing system can implement a health verification and prediction service by generating an interactive user interface through which users can provide responses to health assertions in one or more trivia sessions. Each of the health assertions can include a correlation value to actual health outcomes based on responses received from individuals a control group and the known health outcomes of those individuals. Based on the responses from the user, the computing system can generate a health profile for the user.

Abstract: An example system for mapping payout information can include: a processor; and system memory including instruction which, when executed by the processor, cause the system to: generate a story selection module programmed to present a user with at least one story scenario, with the story scenario including a story having a story outline with a plurality of story conditions, and each of the story conditions includes a plurality of selectable story options; and generate an insurance payout module programmed to present the user with an estimated insurance payout based upon the selectable story options and information associated with an insurance plan available for selection by the user.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services. In response to a medical service order, a cost estimation and notification module can receive information associated with the medical service order. The cost estimation and notification module can determine the patient cost responsibility and quickly notify the patient of the costs. The patient can use the determined cost information to decide whether to move forward with the ordered medical tests.

Abstract: At least a method for determining risk behavior of a driver is described. While a vehicle is being driven, data is obtained related to the position and movement of a wireless communications device. The data may indicate the type of behavior exhibited by the driver while the vehicle is being driven.

Abstract: A method includes initiating, by a first computing device, an interaction with a second computing device. The first computing device includes a first digital asset unit and the second computing device includes a second digital asset unit. The first digital asset unit stores assignable tokens. The method further includes determining to assign conditional access rights to an amount of the assignable tokens to the second digital asset unit where the conditional access rights are in accordance with a set of conditions. The assignment of conditional access rights is a self-enforcing smart contract embedded in an assignable token distributed ledger technology. The method further includes locking the amount of the assignable tokens stored in the first digital asset unit and providing the conditional access rights to the amount of the assignable tokens to second digital asset unit. The second digital asset unit does not store the amount of the assignable tokens.

Abstract: One or more braking event detection computing devices and methods are disclosed herein based on fused sensor data collected during a window of time from various sensors of a mobile device found within an interior of a vehicle. The various sensors of the mobile device may include a GPS receiver, an accelerometer, a gyroscope, a microphone, a camera, and a magnetometer. Data from vehicle sensors and other external systems may also be used. The braking event detection computing devices may adjust the polling frequency of the GPS receiver of the mobile device to capture non-consecutive data points based on the speed of the vehicle, the battery status of the mobile device, traffic-related information, and weather-related information. The braking event detection computing devices may use classification machine learning algorithms on the fused sensor data to determine whether or not to classify a window of time as a braking event.

Abstract: A computing system can execute a correlation model for a library of health assertions to configure a correlation value for each health assertion. The correlation value comprises a correlation between knowledge associated with the health assertion and known health outcomes of individuals in a control group who have also provided responses to the health assertions. The computing system provides a health trivia session for users and based at least in part on the performance of the user, generates a morbidity risk profile that is used to classify the user in an underwriting class.

Abstract: A computing device includes a first program configured to display a menu on a screen and display a summary on the screen that can be reached directly from the menu, and a second program. The summary displays patient account information of a plurality of patient accounts for a selected one of a plurality of available clients. The displayed patient account information includes a plurality of displayed entries, where each entry includes a first field indicating an account number of one of the patient accounts, a second field indicating a status associated with the account number, and a third field indicating a due date. The second program causes the third field to display a due date for submitting a claim associated with the account number to insurance, and dynamically updates the third field to display a due date for appealing denial of the claim.

Abstract: The present disclosure relates to a safety management system. The safety management system calculates a real-time data risk score and an incident data risk score based on real-time data received from a wearable device and incident data selected from big data, calculates a total risk score by summing all values obtained by multiplying calculated risk for respective data by weights for respective data, compares the total risk store with a preset threshold score, and transmits a dangerous situation message to a risk recognition subject when it is determined that a user is at risk. The safety management system of the present disclosure may transmit the real-time data, the incident data, and the dangerous situation message using a 5G communication system, and a safety management server for determining whether or not the user is at risk may be implemented using an artificial neural network.

Abstract: An evaluating apparatus is provided with: a first acquirer configured to obtain a feature value indicating driving behavior of a driver; a classifier configured to classify a plurality of feature values obtained from a plurality of drivers, into a plurality of groups; a second acquirer configured to obtain the feature value that is representative in each of the plurality of groups, as a representative feature value; a ranking device configured to give a rank corresponding to a driving carefulness degree, to each of the plurality of groups, on the basis of the representative feature value; and a determinator configured to determine a driver type corresponding to the driving carefulness degree of the driver, on the basis of a rank of a group into which the feature value of the driver is classified.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing drive safety notifications are provided. A personal driving pattern library comprising first data associated with a first user for a plurality of road sections included in a first route may be maintained. A global driving pattern library comprising second data associated with a plurality of users for the plurality of road sections included in the first route may be maintained. A determination may be made that the first user is going to travel the first route. A first drive safety score for the first user driving the first route may be calculated. A determination may be made that the first drive safety score is below a threshold value. A drive safety notification may be caused to be surfaced.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are described for integrating the online purchase of a product with the purchase of an insurance policy providing coverage for the product. When a customer initiates the purchase of a product through an online retailer, various aspects include obtaining personal information for the customer, as well as product information for the product. Based upon this information, various aspects may include determining whether the customer is eligible to purchase insurance, and assessing a level of risk in providing a particular type of insurance coverage to the customer. Additionally, various aspects may further include determining an insurance quote based upon this level of risk and transmitting an offer to purchase the insurance policy to the customer. The customer may then purchase the product and insurance policy in one transaction such that binding insurance coverage for the product is provided at the time of purchase.

Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.

Abstract: Systems and methods for generating assessments based on construction site images are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. Further, at least one electronic record associated with the construction site may be obtained. The image data and the at least one electronic record may be analyzed to generate at least one assessment related to the construction site. For example, the image data may be analyzed to identify at least one discrepancy between the at least one electronic record and the construction site, and the identified at least one discrepancy may be used in the generation of the at least one assessment.

Abstract: A system and a method for the determination and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition, wherein data records of accident events are generated and location-dependent probability values for specific accident conditions associated with the risk of car accident are determined. The proposed system provides a grid-based, technically new way of automation of risk-prediction related to motor accidents using environment based factors including socio-economic factors that are impacting motor traffic and are location dependent received from appropriate measuring devices and systems. In this way, predictions of the accident risk for arbitrary areas can be provided. The system is calibrated by comparing features of areas or road segments with the number and type of accidents that have measured or registered there, linking the features and accident data e.g.

Abstract: Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

Abstract: Operating a low-latency database analysis system using domain-specific chronometry may include obtaining chronometry configuration data including chronometric instance data describing an instance of a chronometric unit of a domain-specific chronometry dataset that describes an era, such that the chronometry configuration data includes respective chronometric instance data describing each instance of the first chronometric unit of the domain-specific chronometry dataset for the era of the domain-specific chronometry dataset, generating, in the low-latency database analysis system, a domain-specific chronometry dataset in accordance with the chronometry configuration data, such that the domain-specific chronometry dataset describes a chronometric unit such that a temporal location expressed with reference to the chronometric unit and indicative of an epoch value differs from a temporal location indicative of the epoch value and expressed in accordance with a canonical chronometry, and storing the domain-specifi

Abstract: Methods and systems for facilitating photo-based estimation are described. In an aspect, a computing device is configured to receive, from the camera, a signal comprising image data. The image data may represent at least a portion of a vehicle. The computing device may also retrieve data representing a preferred scene of the vehicle and determine, based on the image data and based on the data representing the preferred scene of the vehicle, whether the image data corresponds to the preferred scene of the vehicle. The server may, when the received image data corresponds to the preferred scene of the vehicle, enable capture of the image data. The server may send, via the communications module, a signal representing the captured image data to a processing server configured to analyze the captured image data to assess vehicular damage.

Abstract: A computer-implement method and computer system may be configured to facilitate policyholder setup in connection with estate handling. An audible or visible chatbot avator or doppelgänger may lead a trustee, beneficiary, or family member through the estate of an impaired or deceased user. A computer system may have been provided with, or gather, sample voice and visual recordings associated with a user that are used to build the chatbot avatar that simulates the user audibly and/or visually. The computer system may have previously prompted the user for necessary items to properly handle their estate, such as information related to financial accounts, loans, insurance policies, etc. and user names and passwords to various electronic accounts.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing conversion path performance measures and reports. In one aspect, user interaction data are obtained, were the user interaction data specify user interactions for a plurality of conversions. User interactions that are associated with each conversion are selected from the user interaction data, where the associated user interactions for each conversion are user interactions with a converting user during the conversion cycle for the conversion. Using the user interaction data for the selected user interactions, a quantity of user interactions that are associated with each conversion and occurred during the conversion cycle for the conversion are determined. In turn, conversion path performance measures are computed and reports specifying the conversion path performance measures are generated.

Abstract: One or more embodiments of this application provide a claim settlement method and apparatus employing blockchain technology, which are applied to a blockchain comprising a node device of an insurer and a node device of an insured party, a first smart contract for insurance claim settlement being deployed in the blockchain. The method comprises: acquiring a first transaction for making claim settlement payment to an insured party, wherein the first transaction comprises claim settlement event data corresponding to the insured party; and calling a first smart contract, executing an insurance claim settlement logic declared in the first smart contract and corresponding to the insured party, and performing, on the basis of the claim settlement event data, claim settlement processing with respect to the insured party.

Abstract: An information processing device comprises an accident notification accepting unit, a withdrawal notification accepting unit and an area identifying unit. The accident notification accepting unit accepts from a mobile object an accident notification containing accident determination information indicating that it is determined that an accident has occurred in said mobile object and occurrence site information indicating the site where it is determined that the accident has occurred. The withdrawal notification accepting unit accepts a withdrawal notification to withdraw said accident notification. The area identifying unit records the occurrence site information contained in the accident notification withdrawn by said withdrawal notification and identifies a withdrawal-notification prone area based on the recorded occurrence site information.

Abstract: A control method for displaying inspection images causes a processor to display an image of a model of an inspection object including a plurality of inspection sites, in a first display region and display first inspection information relevant to at least one inspection site, in a second display region, where the at least one inspection site is selected from the plurality of inspection sites in the image of the model displayed in the first display region. The control method further causes the processor to display inspection information prior to the first inspection information, as second inspection information relevant to the model, in a third display region, concurrently with one or more of the first display region and the second display region.

Abstract: Systems and methods are provided for processing reports received from vehicles. A processing device perform operations comprising receiving a first report from a first vehicle, the first report generated by the first vehicle for a first hazard detected by the first vehicle; receiving a second report from a second vehicle, the second report generated by the second vehicle for a second hazard detected by the second vehicle; analyzing the first report and the second report to make a determination that the first report and the second report identify a related hazard; aggregating the first report and the second report into a consolidated report based on the determination that the first report and the second report identify a related hazard; and processing the consolidated report to identify a contributing factor to the related hazard.

Abstract: The disclosed computer-implemented method may determine one or more characteristics of an autonomous vehicle, determine one or more characteristics of one or more road segments of a geographic area, determine at least one geographic zone for the autonomous vehicle within the geographic area based at least on the characteristics of the autonomous vehicle and the characteristics of the one or more road segments of the at least one geographic area, and match a request with the autonomous vehicle within the at least one geographic zone based at least in part on a request location and a destination location of the request being associated with the at least one geographic zone. Other methods, systems, and computer-readable media are disclosed.

Abstract: A geospatial query and navigation process generates a first filtered result comprising assets that satisfy a user generated query, where each asset includes a geospatial location and an exposure rank that estimates a risk associated with the asset based at least in part, upon a policy limit of a policy associated with the asset. The process also generates a current view of a geographical map, and positions indicia on the current view of the geographical map representing assets within the first filtered result according to their geospatial location that are also located within the current view of the geographical map and that also satisfy a predefined exposure rank requirement. The process modifies the current view of the geographical map to alter displayed geographical boundaries responsive to a user entered selection, whereupon the displayed indicia representing assets is updated according to the modified view of the geographical map.

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 computer system and method for processing insurance claim data to identify and recommend insurance policy modifications using informatic data from one or more informatic sensor devices relating to a dwelling. Analytical analysis is performed on the received informatic data to determine a dwelling assessment value regarding an insurance risk relating to the dwelling. Electronic data relating to an insurance policy associated with the dwelling is received by a computer processor and is electronically analyzed to determine insurance coverage and liability values for the dwelling as prescribed by the insurance policy. Predefined business rules are utilized by a computer processor using at least the dwelling assessment value and the determined insurance coverage and liability values for the dwelling to determine, and preferably recommend, one or more insurance products for inclusion with the insurance policy to mitigate insuree liability regarding the dwelling.

Abstract: Methods and devices include identifying a plurality of target users for the digital therapeutic based on one or more target parameters, conducting outreach to one or more of the plurality of target users using an outreach medium, identifying an activation mechanism to optimize use of the digital therapeutic, and encouraging an engagement level of the digital therapeutic by one or more of the plurality of target users.

Abstract: Disclosed herein is a customized recommendation system for home assessment, in which the system comprises at least one or more databases, a computing device, and a device comprising hardware, including a processor and memory. The server device may receive a request for information on a home of a user from the computing device. The server device may identify publicly available information for the home and customer information comprising information about one or more features of the home and materials used in the home by parsing the one or more databases. By further analyzing the customer information and the publicly available information, the server device may determine one or more tips for the home and generate a customized recommendation including the one or more tips for the home. The server device may transmit the customized recommendation to the computing device associated with the user.

Abstract: The application provides a method and an apparatus for testing an autonomous vehicle, and a storage medium, where the method includes: obtaining detection information of the autonomous vehicle, where the detection information is configured to indicate the test result obtained when the detecting apparatus in the autonomous vehicle tests the autonomous vehicle; further, generating a test interface according to the obtained detection information, and displaying the test interface, so that the tester can visually check various test information of the autonomous vehicle during the road running test, thereby not only saving a labor cost, but also improving a test efficiency of the road running test.

Abstract: Disclosed is a method for using a virtual representation of an indoor environment to identify contents that have been damaged (e.g., by flooding). A virtual representation of a physical scene of an indoor environment is processed to identify a list of contents in the physical scene. The virtual representation may include 2-dimensional representations of the physical scene (e.g., images or video) or a 3-dimensional representation of the physical scene (e.g., 3D digital model). A reference line is determined in the virtual representation that is indicative of a maximum vertical extent of the damage in the physical scene. The position of the reference line is compared with the position of the identified contents in the virtual representation to determine contents that are likely to be damaged. For example, the contents that are at or below a plane represented by the reference line in the virtual representation may be identified as damaged.

Abstract: Methods, computer-readable media, systems and apparatuses for determining and implementing dynamic usage-based insurance policies are presented. A cost per day and a cost per mile associated with the dynamic usage-based insurance policy may be determined. The cost per mile may be computed independently for each of a plurality of road segments comprising a trip based on a time of day that the vehicle traveled each road segment, a road type associated with each road segment. The cost per mile of each road segment of the driving trip may further include whether or not hard braking or hard cornering events were encountered during a specified cumulative driving distance that may include, at least a portion, of a plurality of driving trips. The cost per mile for each of the plurality of driving trips may be adjusted once a threshold distance has been traveled by the vehicle based on the number of hard braking events and hard cornering events occurred during that distance.

Abstract: Systems and methods for estimating a remaining value for a host vehicle. In one embodiment, a computer-implemented method for estimating a remaining value for a vehicle includes receiving sensor data for the vehicle associated with an impact event. For example, the sensor data includes timing data for the impact event. The computer-implemented method also includes determining a damage level based on the sensor data. The computer-implemented method further includes monitoring travel behavior of the vehicle for a predetermined amount of time after the impact event. The computer-implemented method yet further includes estimating a remaining value for the vehicle based on the damage level and the travel behavior of the vehicle.