A geo-containment system includes at least one unmanned vehicle and an enforcement system that is onboard the unmanned vehicle and configured to limit travel of the unmanned vehicle based, at least in part, on predefined geospatial operational boundaries. Such boundaries may include a primary boundary and at least one secondary boundary that is spaced apart from the primary boundary a minimum safe distance. The minimum safe distance is determined while the unmanned vehicle is traveling. The minimum safe distance is determined using state information of the unmanned vehicle and/or dynamics of the unmanned vehicle. The state information includes at least position and velocity of the unmanned vehicle. The enforcement system is configured to alter and/or terminate operation of the unmanned vehicle if the unmanned vehicle violates the primary geospatial operational boundary and/or the secondary geospatial boundary. The enforcement system may inter-relate with the unmanned vehicle through an onboard vehicle control system.

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 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.

The present disclosure provides systems and methods for guiding a vertical takeoff and landing, VTOL, vehicle to an emergency landing zone. The systems and methods include determining, via at least one processor, candidate landing zone data by interrogating an emergency landing zone database based at least on VTOL vehicle location, the candidate landing zone data representing a list of candidate emergency landing zones. A target emergency landing zone is selected from the list of candidate emergency landing zones based at least on VTOL vehicle related issues including at least one of unanticipated yaw issues, ground effect issues and modified trend vector issues, thereby providing target emergency landing zone data. Guidance for the VTOL vehicle is determined based on the target emergency landing zone data.

In some examples, an unmanned aerial vehicle (UAV) may receive location information via the global navigation satellite system (GNSS) receiver and may receive acceleration information via an onboard accelerometer. The UAV may determine a first measurement of acceleration of the UAV in a navigation frame of reference based on information from the accelerometer prior to or during takeoff. In addition, the UAV may determine a second measurement of acceleration of the UAV in a world frame of reference based on the location information received via the GNSS receiver prior to or during takeoff. The UAV may determine a relative heading of the UAV based on the first and second acceleration measurements. The determined relative heading may be used for navigation of the UAV at least one of during or after takeoff of the UAV.

In an aspect a system for energy tracking in an electric aircraft. A system includes at least a battery pack. At least a battery pack includes a plurality of battery modules. A system includes a sensing device. A sensing device is configured to detect a battery parameter of at least a battery module of a plurality of battery modules. A sensing device is configured to generate battery data as a function of a detected battery parameter of at least a battery module. A system includes a computing device. A computing device is in electronic communication with a sensing device. A computing device is configured to receive battery data from a sensing device. A computing device is configured to determine an energy amount of a plurality of battery packs as a function of battery data.

Systems and methods for lag optimization of pilot intervention is provided. A critical event may be identified while an electric aircraft is in an autopilot mode and operating primarily under autonomous functions; as a result, a flight controller of the system may switch from an autopilot mode to a manual mode, allowing pilot intervention. System made determine a lag duration as a function of the critical event and a phase of operation of the electric aircraft to determine a lag duration before pilot intervention occurs.

A graphical user interface (GUI) system for facilitating aircraft approaching and landing includes a database for storing airfields information and associated one or more approach patterns. The system also includes a display screen with user input interface configured for selecting a pattern for an aircraft to approach and land on an airfield, displaying the selected pattern in an overhead graphical view of the airfield according to the related information stored in the database. The system further includes a processing unit in signal communication with the database, one or more aircraft position sensors, and the display screen. The processing unit is configured to receive aircraft location and movement information from one or more aircraft sensors, airfield information from the database, and user input from the user input interface to determine display content and format of the display content on the display screen.

Systems, methods, and devices are provided for controlling an unmanned aerial vehicle (UAV) associated with flight response measures. The flight response measure may be generated by assessing one or more flight-restriction strips, assessing at least one of a location or a movement characteristic of the UAV relative to the one or more flight-restriction strips, and directing, with aid of one or more processors, the UAV to take one or more flight response measures based on at least one of the location or movement characteristic of the UAV relative to the one or more flight-restriction strips.

The present invention is directed to methods and systems for determining a location of a vehicle within a geofence. The location of the vehicle is determined by a fencing agent on a vehicle. The geofence is defined by a plurality of geographic designators, with the plurality of geographic designators each being associated with an Internet Protocol (IP) address, preferably an IPv6 address.