Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

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 sensor (i) located on or in a first vehicle and (ii) configured to sense an environment external to the first vehicle, and storing the received sensor data in the memory. The method also includes processing the stored sensor data to determine conditions in which the second vehicle was driven, driving habits of a driver of the second vehicle, and an identifying characteristic of the second vehicle. The method further includes identifying the driver of the second vehicle using the identifying characteristic, and determining a risk level for the driver of the second vehicle using the determined conditions and driving habits.

Abstract: A method for buying and selling vehicles includes receiving information identifying a vehicle, retrieving condition data corresponding to the vehicle from a condition database, wherein a device inside the vehicle generates at least some of the condition data while the vehicle is being operated, and analyzing the condition data to determine a condition of the vehicle, wherein the condition of the vehicle relates to at least one of a quality or a value of the vehicle. Further, the method includes communicating an indication of the vehicle condition to an end user device, and, in response to the indication of the vehicle condition, receiving an offer to purchase the vehicle. A notification is generated based on the offer to purchase the vehicle, wherein the notification indicates a status of a purchase of the vehicle according to the offer to purchase the vehicle, and the notification is communicated to the end user device.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, wherein the condition of the vehicle relates to at least one of a quality or a value of the vehicle, and developing one or more condition descriptors reflecting the condition of the vehicle. Still further, the method includes generating a vehicle condition report including an indication of the one or more condition descriptors and communicating, via the computer network, the vehicle condition report to a remote computing device for presentation to a user of the remote computing device.

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: A method for assessing an operator of a shared vehicle includes receiving a vehicle operator enrollment from a user, wherein the vehicle operator enrollment includes: (i) information identifying a vehicle operated by the user, and (ii) information identifying a shared vehicle. Further, the method includes retrieving condition data corresponding to the vehicle from a condition database, wherein a device inside the vehicle generates at least some of the condition data while the vehicle is being operated by the user, analyzing the condition data to determine a correlation between the user operating the vehicle and a change in a condition of the vehicle, wherein the condition of the vehicle relates to at least one of a quality or a value of the vehicle, and generating a report, wherein the report includes indications of the correlation between the user operating the vehicle and the change in the condition of the vehicle.

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: A method for buying and selling vehicles includes receiving information identifying a vehicle, retrieving condition data corresponding to the vehicle from a condition database, wherein a device inside the vehicle generates at least some of the condition data while the vehicle is being operated, and analyzing the condition data to determine a condition of the vehicle, wherein the condition of the vehicle relates to at least one of a quality or a value of the vehicle. Further, the method includes communicating an indication of the vehicle condition to an end user device, and, in response to the indication of the vehicle condition, receiving an offer to purchase the vehicle. A notification is generated based on the offer to purchase the vehicle, wherein the notification indicates a status of a purchase of the vehicle according to the offer to purchase the vehicle, and the notification is communicated to the end user device.

Abstract: A method includes receiving and storing operational data including a first plurality of data points indicative of a plurality of respective states of an operational parameter of the vehicle at a plurality of respective times, external data including a second plurality of data points indicative of a plurality of respective states of an environment external to 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 operational parameter, generating a second visual representation of the plurality of respective states of the external environment, 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, 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 sensor (i) located on or in a first vehicle and (ii) configured to sense an environment external to the first vehicle, storing the received sensor data in the memory, and determining, via the one or more processors and based on the stored sensor data, an identifying characteristic of a second vehicle different than the first vehicle.

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 of a pedestrian external to the vehicle 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 an animated re-creation of an event (e.g., accident) involving at least one vehicle using the stored plurality of data points, and causing the animated re-creation of the event to be displayed.

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 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, external data including a second plurality of data points indicative of an additional plurality of respective states of the external environment, and synchronization data. The external data is data that was received by the vehicle from a handheld mobile communication device of a pedestrian external to the vehicle via a wireless link, and is indicative of objects sensed by the handheld mobile communication device. The method also includes generating an animated re-creation of an event involving the vehicle using the stored data, and causing the animated re-creation of the event to be displayed.

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 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 an animated re-creation of an event involving the vehicle using the stored data, and causing the animated re-creation of the event to be displayed.

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, external data including a second plurality of data points indicative of an additional plurality of respective states of the external environment, and synchronization data. The external data is data that was received by the vehicle from a handheld mobile communication device of a pedestrian external to the vehicle via a wireless link, and is indicative of objects sensed by the handheld mobile communication device. The method also includes generating an animated re-creation of an event involving the vehicle using the stored data, and causing the animated re-creation of the event to be displayed.

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, operational data indicative of when a vehicle is driven according to an automated control mode in which an automated driving system of the vehicle is active, storing the received operational data in the memory, and determining, via the one or more processors and based on the stored operational data, a risk indicator representing a risk of loss associated with the vehicle.