A flight management device for managing a flying device which includes an identification unit configured to identify that the flying device is likely to fall and a communication unit configured to transmit the notification information representing that the flying device is likely to fall to the flight management device together with the position information representing a position in flight when the flying device is likely to fall. a notification unit configured to transmit warning information to a vehicle at a position corresponding to position information when notification information has been received from the flying device in flight.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

To operate an autonomous vehicle, a rail agent is detected in a vicinity of the autonomous vehicle using a detection system. One or more tracks are determined on which the detected rail agent is possibly traveling, and possible paths for the rail agent are predicted based on the determined one or more tracks. One or more motion paths are determined for one or more probable paths from the possible paths, and a likelihood for each of the one or more probable paths is determined based on each motion plan. A path for the autonomous vehicle is then determined based on a most probable path associated with a highest likelihood for the rail agent, and the autonomous vehicle is operated using the determined path.

Techniques are disclosed for sharing sensor information between multiple vehicles. A system for sharing sensor information between multiple vehicles, can include an aerial vehicle including a first computing device and first scanning sensor, and a ground vehicle including a second computing device and second scanning. The aerial vehicle can use the first scanning sensor to obtain first scanning data and transmit the first scanning data to the second computing device. The ground vehicle can receive the first scanning data from the first computing device, obtain second scanning data from the second scanning sensor, identify an overlapping portion of the first scanning data and the second scanning data based on at least one reference object in the scanning data, and execute a navigation control command based on one or more roadway objects identified in the overlapping portion of the first scanning data and the second scanning data.

Determining a collision probability of a vehicle with an object. A three-dimensional position and orientation of the vehicle and the object is detected. The vehicle is approximated by at least one first geometrical element, that includes a part of the vehicle. The same is done for the object. A first error and a second error is determined in relation to the geometrical element for the vehicle or object. A Minkowski difference is formed for each combination of the at least one first geometrical element with the at least one second geometrical element. A third error is standardized via a transformation. The transformation serves to calculate calculation elements. The collision probability of the vehicle with the object is determined on the basis a spatial union of the calculation elements.

Determining a collision probability of a vehicle with an object. A three-dimensional position and orientation of the vehicle and the object is detected. The vehicle is approximated by at least one first geometrical element, that includes a part of the vehicle. The same is done for the object. A first error and a second error is determined in relation to the geometrical element for the vehicle or object. A Minkowski difference is formed for each combination of the at least one first geometrical element with the at least one second geometrical element. A third error is standardized via a transformation. The transformation serves to calculate calculation elements. The collision probability of the vehicle with the object is determined on the basis a spatial union of the calculation elements.

Techniques are disclosed for sharing sensor information between multiple vehicles. A system for sharing sensor information between multiple vehicles, can include an aerial vehicle including a first computing device and first scanning sensor, and a ground vehicle including a second computing device and second scanning. The aerial vehicle can use the first scanning sensor to obtain first scanning data and transmit the first scanning data to the second computing device. The ground vehicle can receive the first scanning data from the first computing device, obtain second scanning data from the second scanning sensor, identify an overlapping portion of the first scanning data and the second scanning data based on at least one reference object in the scanning data, and execute a navigation control command based on one or more roadway objects identified in the overlapping portion of the first scanning data and the second scanning data.

Systems and methods for system for controlling a traffic grid, the system comprising a traffic grid including a first roadway and a second roadway, the second roadway crossing the first roadway at an intersection; a special transit lane included within at least one of the first roadway and the second roadway, the special transit lane being configured to share both personal vehicular traffic and special vehicular traffic; a detector configured to detect the presence of a special vehicle within a detection zone, which detection zone is formed within the special transit lane in a predetermined area proximate to the intersection; and a signal light proximate to the intersection configured to control traffic traveling through the intersection, the signal light having a controller; wherein the controller controls the signal light to operate in a first mode of operation based, at least in part, on a detection of a special vehicle by the detector within the detection zone.

A computer-implemented method of using telematics data associated with an originating vehicle at a destination vehicle is provided. The method may include receiving telematics data associated with the originating vehicle by (1) a mobile device or (2) a smart vehicle controller associated with a driver or vehicle. The mobile device or smart vehicle controller may analyze the telematics data received to determine that (i) a travel event exists, or (ii) that a travel event message or warning is embedded within the telematics broadcast received. If the travel event exits, the method may include automatically taking a preventive or corrective action, at or via the mobile device or smart vehicle controller, which alleviates a negative impact of the travel event on the driver or vehicle to facilitate safer or more efficient vehicle travel. Insurance discounts may be provided to insureds based upon their usage of the risk mitigation or prevention functionality.

A computer-implemented method of updating an auto insurance policy is provided. The method may include (1) determining that a customer's mobile device has a Telematics Application (“App”) installed on it, the Telematics App configured to (i) receive telematics data associated with another vehicle via a wireless communication broadcast; (ii) determine a travel event from analysis of the telematics data received, and (iii) generate a corrective action based upon the telematics data received or travel event determined that alleviates the risk of vehicle collision. The method may also include (2) monitoring, with the customer's permission, an amount or percentage of usage of the Telematics App on the customer's mobile device while the customer is driving in an insured vehicle; and (3) adjusting an insurance policy premium or discount based upon usage of the Telematics App to facilitate rewarding risk-averse drivers and encourage usage of risk mitigation or prevention technology.