In an example, a method may assign a first drone of a drone network a first task, the first task may instruct the first drone to transport a first package to a first destination in a geographic area. The method may receive roadway traffic data for a plurality of roadway vehicles in the geographic area; determine, based on the roadway traffic data and during transit of the first package to the first destination by the first drone, to transfer the first package to a second drone in the drone network; and transfer the first package to the second drone in the drone network.

The processor supplies flight commands to the flight control system by selectively blending pilot input with control signals from the autopilot. The processor generates a projected recovery trajectory through successive iterations, each beginning at the current aircraft location and using a recovery constraint selectable by the processor to influences a degree of flight aggressiveness. A detection system that identifies and invokes a state of threat existence if a threat exists along the projected recovery trajectory. The processor during threat existence in a first iteration commands an initial soft recovery, with permitted blended pilot input. If the threat exists on subsequent iteration, the processor commands a more aggressive recovery while attenuating blended pilot input.

An in-flight safety enhancing system including: a combined automatic dependent surveillance broadcast (ADS-B) and carbon monoxide (CO) detecting device configured to receive an ADS-B transmission and obtain a CO reading; and a flight application executing on an aircraft crew computing device separate from the combined ADS-B and CO detecting device, and configured to: receive the ADS-B transmission and the CO reading; augment the flight application with information extracted from the ADS-B transmission; and provide a CO status notification when the CO reading exceeds a CO threshold value.

In some examples, a collision awareness system includes two cameras mounted on portions of a vehicle and processing circuitry configured to determine a position of an object based on an image captured by a first camera when the object is within a field of view of the first camera. The processing circuitry is further configured to determine the position of the object based on an image captured by a second camera when the object is within a field of view of the second camera. The processing circuitry is also configured to determine whether a distance between a future position of the vehicle and a current or future position of the object is less than a threshold level. In response to determine that the distance is less than the threshold level, the processing circuitry can generate an alert.

The present disclosure relates to a method for determining an action for collision avoidance in a craft. The method (100) comprises obtaining (110) object data comprising three-dimensional object data points (420); obtaining (120) state data of the craft (260); determining (140) at least one set of manoeuvre paths (410a,b,c) for the craft (260) based on the obtained craft state data; determining (150) a set of distance thresholds (421) for the three-dimensional object data points (420) based on the object data; comparing (160) each set of manoeuvre paths (410a,b,c) with the object data and the set of distance thresholds (421), wherein the set of manoeuvre paths (410a,b,c) is identified as a colliding set of manoeuvre paths (410a,b,c) when each path of the set of manoeuvre paths (410a,b,c) is at least partially within the corresponding distance threshold (421) of at least one three-dimensional object data point (420); and determining (170) an action upon identification of at least one colliding set of manoeuvre paths (410a,b,c).

An apparatus is provided for detecting and avoiding objects in real-time. The apparatus includes a first sensor that collects environmental data and a second sensor that collects external data corresponding to an external object within a detection range from the apparatus. The apparatus further includes a processor that, in real-time, calculates a minimum distance to avoid the external object, based at least in part on the environmental data and the external data, monitors the environmental data and the external data, and controls the apparatus to avoid the external object based on the calculated minimum distance and the monitored environmental data and external data.

An example method can include receiving, at a sensor, a signal associated with a motion of a target, processing the signal via a first filter having a first motion model and a second filter having a second motion model to yield a first tracking output and a second tracking output for the target, and weighting the first tracking output and second tracking output according to how well each of the first motion model and second motion model represents the motion of the target, to yield a first weight for the first tracking output and a second weight for the second tracking output. The method can include combining the first tracking output and second tracking output to yield a fused tracking output and sending, to a fusion system, the fused tracking output, the first weight associated with the first tracking output and the second weight associated with the second tracking output.

Systems and methods for displaying connectivity strength for vehicles are disclosed. For instance, the method may include receiving, from an off-board station, connectivity data relating to a connected vehicle, the connectivity data having been received from a plurality of connected vehicles other than the connected vehicle and selected based on relevance to the connected vehicle; identifying a portion of the received connectivity data to display on the connected vehicle; generating a display of the identified portion of the received connectivity data; and displaying on a display unit of the connected vehicle, the generated display of the identified portion of the received connectivity data. The method may also include generating and displaying an updated route based on the received connectivity data.

Systems and methods provide dynamically modifiable parameters in required time of arrival (RTA) speed regions of an assigned flight path of an aircraft. The system includes a vertical situation display (VSD) rendering thereon a vertical flight profile of the assigned flight path. A control module is coupled to the display system and configured to: demark the vertical flight profile with a plurality of RTA speed regions related to an initial speed profile; render an RTA speed band graphic having demarked sections vertically representing a speed minimum and speed maximum for an respective RTA speed region, the RTA speed band graphic representing a normalized speed range between zero and a maximum value for each respective RTA speed region. The control module accepts user modifications and updates the RTA speed band graphic and the current speed profile to reflect user input.

A system and a method of determining an absolute position of a first vehicle can be used in restricted areas. The system performs operations of or the method includes receiving image data from a vision system mounted on a second vehicle, determining a first location of the second vehicle using at least positions of stars in the image data, providing the first location to the first vehicle, determining a first relative position between the first vehicle and the second vehicle using at least one signal communicated between the first vehicle and the second vehicle, and determining the absolute position using at least the relative location data and the first location.