Abstract: An incident management system for managing an incident response may be provided. The incident management system may include an incident management (IM) computing device and a vehicle. The IM computing device may include a processor and memory, the processor may be programmed to receive a notification that an incident has occurred, the notification including sensor data and sub-system data. The processor may analyze the data to determine an incident response, the determination including categorizing the incident based on damage determined from the data. The processor may also identify a responding party based on the incident response and the category of the incident. The processor may further parse the data to generate a set of critical data. The critical data may be based on the responding party. The processor may transmit a message to the responding party including the critical data and the location of the vehicle.

Abstract: Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

Abstract: Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Abstract: Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

Abstract: Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.

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: Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.

Abstract: Systems and methods are disclosed for educating vehicle drivers. Auto insurance claim data may be analyzed to identify hazardous areas associated with an abnormally high amount or severity of vehicle collisions. A virtual navigation map of roads within the hazardous areas may be built or generated. A common cause of several vehicle collisions at a hazardous area may be identified, and a virtual reconstruction of a scenario involving the common cause and/or a road map of collisions locations of may be created. The virtual reconstruction of the scenario may be displayed on a driver education virtual simulator to enhance driver education and reduce the likelihood of vehicle collisions.

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: Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Abstract: Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Abstract: Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

Abstract: Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.

Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to ta vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.

Abstract: Systems and methods for control systems for facilitating situational awareness of a vehicle are provided. Sensors located around a vehicle may detect moving objects located in one or more vehicle blind spots. These moving objects pose potentially dangerous situations for the vehicle occupants and for the object. The sensors may further determine that the moving object is a cyclist approaching a vehicle blind spot, and that the vehicle is parked. Processors associated with the vehicle may then direct a corrective action, such as automatically locking the vehicle doors, to prevent a vehicle-cyclist collision. The systems and methods provided herein may thereby make these and similar situations safer.

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 generate a notification of a travel route for a vehicle based on the risk index.

Abstract: A system for analyzing unmanned aerial missions configured to (i) receive, from a user, pre-mission data for a planned unmanned aerial mission; (ii) determine an insurance policy, premium, rate, mission-based rate, or usage-based rate based upon the pre-mission data, one or more business rules, and a plurality of historical mission data; (iii) transmit, to the user, the insurance policy; (iv) receive acceptance of the insurance policy from the user; (v) receive a plurality of telematics information from the unmanned aerial mission; and (vi) update at least one of the one or more business rules and the plurality of historical mission data based upon the plurality of telematics information.

Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to ta vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.

Abstract: Methods and systems for determining a cause of loss to a property for damage associated with an insurance-related event based upon data received from a second property. A smart home (or other building) controller and/or an insurance provider remote processor may generate a time sequence of events for damage associated with an insure-related event. The smart home controller or remote processor may also receive a time-sequence of events generated by a smart home controller associated with a second property. The smart home controller or remote processor may compare the two time-sequences of events to determine causes of loss associated with damage to the property. The compared data may be further used to assign a portion of the overall damage to each cause of loss. Subsequently, the smart home controller or remote processor may automatically generate an insurance claim for damage to the property associated with the insurance-related event.

Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to ta vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.