A system and apparatus for assisting in determining the best course of action at any point inflight for an emergency. The system may monitor a plurality of parameters including atmospheric conditions along the flight path, ground conditions and terrain, conditions aboard the aircraft, and pilot/crew data. Based on these parameters, the system may provide continually updated information about the best available landing sites or recommend solutions to aircraft configuration errors. In case of emergency, the system may provide a pilot with a procedure for execution for landing the aircraft.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

The present invention discloses a data collection method, an unmanned aerial vehicle (UAV) and a storage medium. The method is used for a vision chip of the UAV, the vision chip including a main operating system and a real-time operating system, and the method includes: generating, by the real-time operating system, a trigger signal; collecting, by the real-time operating system based on the trigger signal, flight control data of the UAV and controlling an image sensor to collect an image sequence; synchronizing, by the real-time operating system, a time of the main operating system with a time of the real-time operating system; and performing, by the main operating system, visual processing on the flight control data and the image sequence, to ensure that the flight control data and the image sequence are collected synchronously. By using the method, accuracy of data collected during controlling of the UAV can be improved.

Methods and systems are provided for assisting operation of a vehicle using speech recognition and transcription to provide a conversation log graphical user interface (GUI) display that consolidates communications with respect to the vehicle. One method involves receiving a data message from a system onboard the vehicle and generating a graphical representation of the data message within the conversation log GUI display, wherein the graphical representation of the data message includes a selectable element and is displayed on the conversation log GUI display concurrently with a graphical representation of a transcription of an audio communication with respect to the vehicle. The depicted data message and transcription are chronologically positioned with respect to one another in accordance with a timestamp associated with the data message. The conversation log GUI display dynamically updates in response to selection of the selectable element.

Methods and systems are provided for assisting operation of an aircraft when diverting from a flight plan using a comparative vertical profile display. A vertical profile display includes a first graphical representation of a first vertical profile corresponding to a first lateral route defined by a flight plan for the aircraft and a second graphical representation of a second vertical profile corresponding to a modified lateral route different from the first lateral route displayed concurrently on the vertical profile display. The first vertical profile corresponding to the first lateral route is depicted on the vertical profile display in a first plane and the second vertical profile corresponding to the modified lateral route is depicted on the vertical profile display in a second plane different from the first plane.

An approach is provided for dynamic obstacle data in a collision probability map. The approach, for example, involves monitoring a flight of an aerial vehicle through a three-dimensional (3D) space that is partitioned into 3D shapes of varying resolutions. The approach also involves detecting an entry of the aerial vehicle into one 3D shape of the plurality of 3D shapes. The approach further involves, on detecting an exit of the aerial vehicle form the one 3D shape, recording a 3D shape identifier (ID) of the one 3D shape and at least one of a first timestamp indicating the entry, a second timestamp indicating the exit, a duration of stay in the one 3D shape, dimensions of the aerial vehicle, or a combination thereof as a dynamic obstacle observation record. The approach further involves transmitting the dynamic obstacle observation record to another device (e.g., a server for creating the collision probability map).

A flight management system for unmanned aerial vehicles (UAVS), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV caches on-board a 4G modem, an antenna connected to the modern for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G Infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

Systems and methods for automated communication with Air Traffic Control. The system comprises a processor and memory. The memory stores instructions to execute a method. The method includes receiving audio communication input from an air traffic controller (ATC). The audio communication input is then converted into text input. Next, an aircraft keyword is detected in the text input. The text input is then parsed and one or more data structures are generated from the parsed input. In some examples, the one or more data structures includes command data for controlling the aircraft. Next, the command data in the one or more data structures is verified. The one or more data structures are then transmitted to an onboard flight computer of the aircraft. Last, the one or more data structures are stored in a conversation memory.

A method for collecting flight data from aircraft. Each aircraft in a set of collecting aircraft collects information of ADS-B type received from other aircraft and associates contextual information with the received information of ADS-B type. Additionally, each aircraft in the set of collecting aircraft transmits the received information of ADS-B type, as well as the associated contextual information, to a common server. The common server receives and stores the information transmitted by the various aircraft in the set of collecting aircraft. The stored information is filtered so as to exclude information of ADS-B type which is incoherent taking into account contextual information. At least some of the filtered information is transmitted to a user.

A method for enriching an obstacle database of an aircraft, the method being implemented by an on-board computer of the aircraft, and includes a creation phase performed on board the aircraft, involving a simple interaction between the pilot and a system of the cockpit, for creating an intermediate object representative of a user obstacle, the user obstacle being an obstacle identified by the pilot and not listed in the obstacle database of the aircraft, the intermediate object being created with a geographical position as its sole attribute; and a subsequent phase performed on board the aircraft, consisting in: adding type attributes characterizing the user obstacle to the intermediate object; and storing the user obstacle with the added attributes in a non-volatile memory of a module of the cockpit of the aircraft.