The system for assisting the avoidance of an excursion by an aircraft from a runway or taxiway of an aerodrome includes a unit for monitoring the aerodrome so as to allow the detection, by optical detection, of a characteristic element of a pathway, for determining a current relative position of a landing gear of the aircraft (AC) with respect to the detected characteristic element, and for detecting a future excursion from the pathway of the aerodrome by the aircraft (AC) on the basis of at least this current relative position, and a unit for assisting the implementation of an action for assisting the avoidance of said future excursion. The system is configured for providing assistance to the pilot of the aircraft by improving his awareness of a potential excursion, by warning and/or ground navigation aid messages, and by providing protection of last resort via automatic braking.

A sensor assembly for use in association with non-integrated, ground-based collision avoidance systems for aircraft, including (a) a sensor; and (b) a frame sub-assembly, wherein the sensor is releasably securable to the frame sub-assembly.

Systems and methods for embedding a warning signal in a sensor pulse. When a taxi anticollision system of a host aircraft senses a threat headed for the aircraft, a warning signal is embedded in a sensor pulse to warn the offending vehicle that it is in the field of view of the host aircraft's sensor and is moving on a trajectory that is threatening collision with the host aircraft. Alternately, the radar issues a dedicated pulse for reading and alerting the receiving device.

A Light Emitting Diode (LED) light for an aircraft includes a hollow cylindrical body, a plurality of LEDs mounted in the hollow body, and at least one reflector to receive light beams emitted by the LEDs and configured to direct the light beams in a lighting direction of the LED light. The LEDs are mounted on a cylindrical support and disposed radially in the cylindrical body, and the cylindrical support has a polygonal contour.

A radar detection system according to the present disclosure is a radar detection system that detects an obstacle to an aircraft in an airport. The radar detection system includes a radar apparatus, and a control apparatus. The radar apparatus detects an obstacle by transmitting and receiving a radar signal, and acquires obstacle information regarding the obstacle detected based on the received radar signal. The control apparatus switches the operation of the radar apparatus according to the aircraft state of the aircraft. The control apparatus turns off the radar apparatus when the aircraft takes off, and turns on the radar apparatus when the aircraft makes a landing.

A radar apparatus with a transmission antenna array that outputs a high aspect ratio frequency modulation continuous wave (FMCW) transmission beam that illuminates a large field of regard in elevation and may be both electronically and mechanically scanned in azimuth. The weather radar apparatus includes a receive array and receive electronics that may receive the reflected return radar signals and digitally form a plurality of receive beams that may be used to determine characteristics of the area in the field of regard. The receive beams may be used to determine reflectivity of weather systems and provide a coherent weather picture. The weather radar apparatus may simultaneously process the receive signals into monopulse beams that may be used for accurate navigation as well as collision avoidance.

An aircraft collision avoidance system including (a) at least one separation monitoring device connectable to at least a portion of an aircraft and/or vehicle, the separation monitoring device comprising (1) at least one transmitter, (2) at least one receiver, and (3) an image sensor, and (b) a master unit.

In an example, a method is described. The method includes causing one or more sensors arranged on an aircraft to acquire, over a window of time, first data associated with a first object that is within an environment of the aircraft, where the one or more sensors include one or more of a light detection and ranging (LIDAR) sensor, a radar sensor, or a camera, causing an array of microphones arranged on the aircraft to acquire, over approximately the same window of time as the first data is acquired, first acoustic data associated with the first object, and training a machine learning model by using the first acoustic data as an input value to the machine learning model and by using an azimuth, a range, an elevation, and a type of the first object identified from the first data as ground truth output labels for the machine learning model.

In an example, a method is described. The method includes causing one or more sensors arranged on an aircraft to acquire, over a window of time, first data associated with a first object that is within an environment of the aircraft, where the one or more sensors include one or more of a light detection and ranging (LIDAR) sensor, a radar sensor, or a camera, causing an array of microphones arranged on the aircraft to acquire, over approximately the same window of time as the first data is acquired, first acoustic data associated with the first object, and training a machine learning model by using the first acoustic data as an input value to the machine learning model and by using an azimuth, a range, an elevation, and a type of the first object identified from the first data as ground truth output labels for the machine learning model.

Systems and methods for predicting and displaying targets based on height in relation to the wing, wingtip or other elements of the aircraft, such as engine nacelles. The location of ground obstacles is based on radar returns (from sensors deployed on the ownship), aircraft surveillance data, and/or an airport moving map database.