Methods and systems for automatically deploying an autonomous drone from a vehicle in response to a triggering event or accident so that data associated with the triggering event or accident may be automatically obtained are described. In one embodiment, a method for deploying an autonomous drone in response to a triggering event is described. The method includes providing an autonomous drone in a vehicle. The method also includes detecting a triggering event associated with the vehicle. Upon detection of the triggering event, the method includes automatically deploying the autonomous drone from the vehicle. The method further includes implementing, by the autonomous drone, a plurality of automatic actions, including recording data associated with the vehicle in which the autonomous drone is provided.

Methods and systems for automatically deploying an autonomous drone from a vehicle in response to a triggering event or accident so that data associated with the triggering event or accident may be automatically obtained are described. In one embodiment, a method for deploying an autonomous drone in response to a triggering event is described. The method includes providing an autonomous drone in a vehicle. The method also includes detecting a triggering event associated with the vehicle. Upon detection of the triggering event, the method includes automatically deploying the autonomous drone from the vehicle. The method further includes implementing, by the autonomous drone, a plurality of automatic actions, including recording data associated with the vehicle in which the autonomous drone is provided.

A parcel delivery system is provided for use in complex having a plurality of tenant units each having a tenant address, wherein the complex further comprising an intake facility, a delivery facility, and parcel storage boxes, and wherein the intake facility comprises a scanning station and a first automated ground delivery vehicle in communication with the scanning station and wherein the delivery facility comprises a second automated ground delivery vehicle configured to travel between the delivery station and tenant units. In accordance with embodiments, a computer system interfaces with the parcel delivery system to notify tenants when they have a parcel and to further notify tenants when delivery of the parcel has been completed.

A parcel delivery system is provided for use in complex having a plurality of tenant units each having a tenant address, wherein the complex further comprising an intake facility, a delivery facility, and parcel storage boxes, and wherein the intake facility comprises a scanning station and a first automated ground delivery vehicle in communication with the scanning station and wherein the delivery facility comprises a second automated ground delivery vehicle configured to travel between the delivery station and tenant units. In accordance with embodiments, a computer system interfaces with the parcel delivery system to notify tenants when they have a parcel and to further notify tenants when delivery of the parcel has been completed.

Systems, devices, and methods for identifying a target aerial vehicle, deploying an interceptor aerial vehicle comprising at least one effector, maneuvering the interceptor aerial vehicle to a position to engage a target aerial vehicle, deploying the at least one effector to intercept the target aerial vehicle, and confirming that the target aerial vehicle has been intercepted.

Systems, devices, and methods for identifying a target aerial vehicle, deploying an interceptor aerial vehicle comprising at least one effector, maneuvering the interceptor aerial vehicle to a position to engage a target aerial vehicle, deploying the at least one effector to intercept the target aerial vehicle, and confirming that the target aerial vehicle has been intercepted.

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

An exchange network comprising a plurality of exchange stations, in which each of the exchange stations comprises at least one drone operative to function as a flying crane, a temporary storage space, and at least one designated stopping area for on-road vehicles operative to carry cargo. Each of the exchange stations uses the respective local crane-drones to unload cargo from certain vehicles arriving at one of the respective local designated stopping areas, temporary store the cargo, and then load the cargo onboard certain other vehicles arriving at one of the respective local designated stopping areas, thereby exchanging carriers, and thus generating a transport route for the cargo which is the combination of different parts of transport routes of different carriers. The exchange network may use predetermined routes of many scheduled carriers to plan a routing scheme for the cargo, thereby propagating the cargo between exchange stations in a networked fashion.

An exchange network comprising a plurality of exchange stations, in which each of the exchange stations comprises at least one drone operative to function as a flying crane, a temporary storage space, and at least one designated stopping area for on-road vehicles operative to carry cargo. Each of the exchange stations uses the respective local crane-drones to unload cargo from certain vehicles arriving at one of the respective local designated stopping areas, temporary store the cargo, and then load the cargo onboard certain other vehicles arriving at one of the respective local designated stopping areas, thereby exchanging carriers, and thus generating a transport route for the cargo which is the combination of different parts of transport routes of different carriers. The exchange network may use predetermined routes of many scheduled carriers to plan a routing scheme for the cargo, thereby propagating the cargo between exchange stations in a networked fashion.