An automated system is provided that receives and utilizes travel related data from unmanned aerial vehicles (“UAVs”) for optimizing the scheduling and routing of deliveries by UAVs. Travel routes through delivery areas are planned and when it is determined that a first UAV has deviated from a planned travel route to avoid a location in an area, a second UAV (e.g., which may have additional sensors and/or recording capabilities) may be sent to collect updated travel related data regarding the location. The updated travel related data (e.g., which may indicate that there is a new obstacle, a source of magnetic interference, a wind, etc. at the location) may be utilized for planning future travel routes for deliveries.

Systems and methods for determining object location may include a memory and a processor. The processor may be configured to collect seismic data and geophysical data to determine object location. The processor may be configured to determine one or more seismic attributes associated with a plurality types of noises based on the seismic data and the geophysical data using one or more machine learning algorithms. The processor may be configured to eliminate unwanted noises from noise classifications based on the one or more seismic attributes. The processor may be configured to predict the object location by comparing time and velocity data of the object with recorded timing and velocity data. The processor may be configured to validate the object location by comparing the determined noise with image data. The systems and methods may be used in, for example, detecting missing planes such as Malaysian Airlines Flight 370.

An aircraft emergency control system comprises at least one sensor configured to output an electronic signal relating to detection of incapacitation of at least one aircraft crew member. A processor is configured to receive and process the electronic signal to determine whether emergency action is to be taken. A control unit is configured to communicate, in use, a control signal to an avionics system of the aircraft in relation to the emergency action if the processor determines that emergency action is to be taken.

A system for localization of a safe landing zone comprises at least one image-capture device onboard an aerial vehicle, and an onboard processor coupled to the image-capture device. The processor is operative to execute instructions to perform a method that comprises: receive, from the image-capture device, two or more overlapping images of a landscape underneath the aerial vehicle; generate, based on the overlapping images, a landing zone heatmap of the landscape; identify, based on the landing zone heatmap, one or more regions of the landscape having potential landing zones and obstacles; and determine a location of a safe landing zone using a distance transform of the one or more regions of the landscape. The location of the safe landing zone is in an area within one of the potential landing zones that is farthest from the obstacles. The location of the safe landing zone is then stored in a database.

A system for transmitting and storing data based on a connection for a vehicle is presented. The system includes a computing device, the computing device configured to receive a vehicle data, communicatively connect the computing device to a second device as a function of a mesh network, authenticate a second device as a function of an authentication module, generate a vehicle collection datum as a function of the vehicle data, communicate the vehicle collection datum to the second device as a function of the mesh network, and store the vehicle collection datum in a recorder database as a function of a lack of identification of the mesh network.

A method includes detecting, by a processing circuit, a high-speed rejected takeoff has occurred by determining an aircraft has accelerated to at least a first preset indicated airspeed value and then by determining the aircraft has decelerated below at least a second preset indicated airspeed value and the aircraft is on the ground. The method also includes detecting, by the processing circuit, an event other than the high-speed rejected takeoff has occurred by determining the aircraft has not accelerated to at least the first preset indicated airspeed value, or by determining the aircraft has accelerated to at least the first preset indicated airspeed value and the aircraft has not decelerated below at least the second preset indicated airspeed value, or by determining the aircraft is airborne.

A system for flight tracking of an electric aircraft is presented. A system includes a non-volatile data storage unit. A non-volatile data storage unit is housed within a protective barrier of an electric aircraft. A non-volatile data storage unit is configured to receive flight data of an electric aircraft from a computing device. A non-volatile data storage unit is configured to record flight data. A non-volatile data storage unit is configured to categorize flight data to at least two flight data groups. A system includes a computing device. A computing device is housed within an electric aircraft. A computing device is configured to receive flight data from at least a sensor of an electric aircraft. A computing device is configured to convey flight data to a non-volatile data storage unit. A computing device is configured to transmit flight data to at least an external computing device.

A system includes an aircraft including a position sensor configured to output a position signal regarding a position of the aircraft within an airspace, and a propulsion system configured to output a position confirmation signal regarding the position of the aircraft within the airspace. A method includes outputting, by a position sensor of an aircraft, a position signal regarding a position of the aircraft within an airspace; and outputting, by a propulsion system of the aircraft, a position confirmation signal regarding the position of the aircraft within the airspace.

The present disclosure describes autonomous flight safety systems (AFSSs) that incorporate an autonomous flight termination unit (AFTU) enabling AFSS monitoring for various termination conditions that are used to activate a flight termination system (e.g., in the event a termination condition is detected). Such termination conditions include boundary limit detection (e.g., whether a vehicle position is outside or projected outside a planned flight envelope), as well as body instability detection (e.g., whether a pitch rate and yaw rate exceed some threshold indicative of vehicle instability). For instance, an AFTU may incorporate a three-axis gyroscope sensor and may implement instability detection processing based on information obtained via the sensor. Instability detection processing may include, for example, a BID algorithm that may be implemented by an AFTU to monitor angular rates of the vehicle, to determine if the vehicle is no longer under stable control, and to issue termination commands when termination conditions are detected.

Embodiments of the present disclosure may include a method to augment pilot control of a drone, the method including receiving a planned flight route. Embodiments may also include receiving sensor information from an at least one environment sensor along the planned flight route. In some embodiments, the at least one environment sensor may be located at a predefined location. Embodiments may also include estimating a drone location from the sensor information. Embodiments may also include receiving a speed vector of the drone. Embodiments may also include comparing the drone location to an expected drone location along the planned flight route. Embodiments may also include deriving a flight control command and a speed vector command to return the drone to a point along the planned flight route.