Abstract: A drone flight plan between an origin and destination is evaluated with respect to planned routes of connected vehicles. The drone flight path is calculated such that it includes one or more docking segments on one or more vehicles. For multiple vehicles, multiple permutations of docking segments may be evaluated and assigned scores according to risk, drone flying time, timing issues, and other factors. A permutation having a score indicating higher desirability may be selected. The one or more vehicles may be autonomous and routes of the one or more vehicles may be adjusted in order to provide suitable docking segments for the drone flight path. The destination of the drone flight path may also be adjusted in order to permit docking on one or more vehicles.

Abstract: A drone flight plan between an origin and destination is evaluated with respect to planned routes of connected vehicles. The drone flight path is calculated such that it includes one or more docking segments on one or more vehicles. For multiple vehicles, multiple permutations of docking segments may be evaluated and assigned scores according to risk, drone flying time, timing issues, and other factors. A permutation having a score indicating higher desirability may be selected. The one or more vehicles may be autonomous and routes of the one or more vehicles may be adjusted in order to provide suitable docking segments for the drone flight path. The destination of the drone flight path may also be adjusted in order to permit docking on one or more vehicles.

Abstract: Methods and systems for detecting a medical emergency related to the driver of a vehicle are described. Various data, such as in-situ biophysical data of the driver, a medical history of the driver, and in-situ motion data of the vehicle, are employed to determine a possible medical emergency. In an event that a medical emergency is detected, the system determines the severity of the emergency and takes appropriate control of the vehicle. If the medical emergency is not life-threatening, the system may drive the vehicle to a safe area, park the vehicle, and then request help from emergency service providers (e.g., ambulance and police). If the medical emergency is severe (e.g., life-threatening), the system may transition the vehicle to an EMS (Emergency Medical Service)-privileged vehicle and autonomously drive the vehicle to an emergency service provider.

Abstract: Methods and systems for detecting a medical emergency related to the driver of a vehicle are described. Various data, such as in-situ biophysical data of the driver, a medical history of the driver, and in-situ motion data of the vehicle, are employed to determine a possible medical emergency. In an event that a medical emergency is detected, the system determines the severity of the emergency and takes appropriate control of the vehicle. If the medical emergency is not life-threatening, the system may drive the vehicle to a safe area, park the vehicle, and then request help from emergency service providers (e.g., ambulance and police). If the medical emergency is severe (e.g., life-threatening), the system may transition the vehicle to an EMS (Emergency Medical Service)-privileged vehicle and autonomously drive the vehicle to an emergency service provider.

Abstract: A system includes a processor configured to access a map, including pre-designated destinations, each destination having a clue associated therewith. The processor is also configured to provide the clue associated with a first destination. The processor is further configured to track the progress of a user towards the first destination using GPS coordinates. Also, the processor is configured to provide a clue associated with a next destination, once the user has reached the first destination. Further, the processor is configured to repeat map access, clue provision, and tracking until the user has reached a pre-designated final destination.