Abstract:
According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.
Abstract:
A computer system or computer-implemented method may provide incentives to an insured customer for receiving sensor data indicating risk-reducing and risk-increasing behavior during the policy term. In-vehicle sensors or other devices may gather information about the vehicle and its use during the policy term and send the information to a back-end system for analysis. Based on this analysis, the back-end system may determine that the received information is indicative of risk-reducing or increasing behavior. Upon confirmation that the information indicates risk-reducing or increasing behavior, the back-end system may perform one or more actions defined by a set of rules to establish an incentive or disincentive for the customer corresponding to the behavior. For example, the system may modify the customer's insurance policy data, send an e-mail, letter, gift card, coupon, points, or other incentive or disincentive for the customer based on the analysis.
Abstract:
A method includes receiving external data including a plurality of data points indicative of a plurality of respective states of an environment external to a vehicle. The external data is data that was received by the vehicle from a handheld mobile communication device external to the vehicle (e.g., a mobile communication device of a pedestrian) via a wireless link, and is indicative of objects sensed by the handheld mobile communication device. The method also includes storing the external data in a memory, generating a virtual model of an event (e.g., accident) involving at least one vehicle using the stored plurality of data points, and causing the virtual model of the event to be displayed.
Abstract:
Methods and systems for improving vehicular safety by notifying vehicle operators of location-based risks are provided. According to embodiments, a processing server may receive an initial location of a vehicle. Based on location data associated with the initial location, the processing server can determine the risk of an incident. The processing server can generate a notification to communicate to the vehicle operator, and the vehicle operator can assess the risk and take action to mitigate the risk, for example by relocating the vehicle. The processing server can receive updated location data for the vehicle and can determine, based on the updated location data, that the risk has been mitigated.
Abstract:
Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further select a travel route for a vehicle based upon the risk index.
Abstract:
A method includes receiving and storing sensor data including a first plurality of data points indicative of a plurality of respective states of the environment external to a vehicle at a plurality of respective times, operational data including a second plurality of data points indicative of a plurality of respective states of an operational parameter of the vehicle at a plurality of respective times, and synchronization data. The method also includes generating a virtual model of an event involving the vehicle using the stored data, at least by generating a first visual representation of the plurality of respective states of the external environment, generating a second visual representation of the plurality of respective states of the operational parameter, and using the synchronization data to cause the first visual representation to be displayed simultaneously with, and in a time-aligned manner with, the second visual representation.
Abstract:
A method includes receiving first sensor data representing information collected, during a first time period, by a sensor located on or in a vehicle configured to sense an environment external to the vehicle, storing the data in a memory, processing the data to determine a first set of one or more characteristics of the external environment, and determining, based on the first set of characteristics, a first risk indicator representing a risk of loss during the first time period. The method also includes receiving second sensor data representing information collected, during a second time period, by the sensor, storing the data in the memory, and processing the data to determine a second set of one or more characteristics of the external environment. The method also includes determining, based on the second set of characteristics, a second risk indicator representing a risk of loss during the second time period.
Abstract:
A method, implemented in an electronic processing system that includes a memory and one or more processors, includes receiving, at the electronic processing system, sensor data representing information collected by a first sensor (i) located on or in a first vehicle and (ii) configured to sense an environment external to the first vehicle. The method also includes storing the received sensor data in the memory, and generating, via the one or more processors and using the stored sensor data, a virtual model of an event involving at least one vehicle.
Abstract:
A computer implemented method for providing insurance receives vehicle data that indicates one or more driving maneuvers of a vehicle, wherein the vehicle data originates from one or more sensors. The method also analyzes the received vehicle data to determine a driving pattern associated with one or more operators of the vehicle, wherein the driving pattern includes a plurality of driving maneuvers and the vehicle corresponds to an insurance policy data structure having a rating data component. The method further determines that the driving pattern indicates a change in the rating and adjusts the rating data component. The method further processes one or more insurance options based at least in part on the changed rating.
Abstract:
Methods and systems for administering acuity assessments to customers who request vehicle insurance policies, and offering insurance policies based on customers' performances on the acuity assessments. In aspects, the vehicle insurance policies can cover various uses of the vehicle, where the policies may be distance- or time-based. The customer requests a vehicle insurance policy and an insurance provider provides a relevant acuity assessment to the customer for completion. The customer performs the acuity assessment and sends corresponding results, and the insurance provider determines the customer's performance. Based at least in part on the customer's performance, the insurance provider generates an insurance quote, which the customer may purchase.