Systems and methods are disclosed for predicting a hot spot. One method comprises receiving, by a hot spot prediction system, vehicle characteristics associated with a vehicle and traffic data. Then the hot spot prediction system determines a hot spot and an estimated arrival time at the hot spot based on the vehicle characteristics and the traffic data. Following the determination, an auto brake application system receives the hot spot and the estimated arrival time and determines a safe stop time based on the vehicle characteristics, the hot spot and the estimated arrival time. The auto brake application system then sends a notification to the vehicle based on determining that the vehicle can stop within the safe stop time, and performs an action in response to receiving a confirmation from the vehicle.

The disclosure relates to airport stand arrangement (100,200,300) comprising: a display (130); a radar-based system (110R); and one or more additional systems selected from laser-based systems (110L) and imaging systems (110C), wherein said radar-based system (110R) and said one or more additional systems together form a combined system (110,210,310), wherein the airport stand arrangement (100) is configured, based on output data from said combined system (110), to detect and track (S108,S110) an aircraft (10) within a stand area (20) when said aircraft (10) is approaching a stand within the stand area (20) for parking at a parking position (160) therein, and configured, based on said detection and tracking of the approaching aircraft (10), to provide (S114,S116) pilot maneuvering guidance information on said display (130) for aiding a pilot of the approaching aircraft (10) in maneuvering the aircraft (10) towards said parking position (160).

To provide a foreign-object system which uses a plurality of radars, and which can detect a foreign object that is present on a runway or the like and which can suppress interference between radars. A foreign-object detection system including a first radar 11, a second radar 21 connected to the first radar via a network 33, and a signal source 31 for transmitting a synchronization signal to the first radar and the second radar via the network, said foreign-object detection system wherein interference generated due to a radar signal outputted from the second radar being reflected by a reflective body and inputted to the first radar is prevented by controlling a delay time that corresponds to |τ.sub.1i−τ.sub.2j|, where τ.sub.1i is the time taken for the synchronization signal to be transmitted from the signal source to the first radar, and τ.sub.2j is the time taken for the synchronization signal to be transmitted from the signal source to the second radar.

The disclosure relates to airport stand arrangement (100,200,300) comprising: a display (130); a radar-based system (110R); and one or more additional systems selected from laser-based systems (110L) and imaging systems (110C), wherein said radar-based system (110R) and said one or more additional systems together form a combined system (110,210,310), wherein the airport stand arrangement (100) is configured, based on output data from said combined system (110), to detect and track (S108,S110) an aircraft (10) within a stand area (20) when said aircraft (10) is approaching a stand within the stand area (20) for parking at a parking position (160) therein, and configured, based on said detection and tracking of the approaching aircraft (10), to provide (S114,S116) pilot maneuvering guidance information on said display (130) for aiding a pilot of the approaching aircraft (10) in maneuvering the aircraft (10) towards said parking position (160).

A system of automatically documenting a plurality of aircraft touchdown events detected by analyzing sensory data received from a plurality of sensors, comprising one or more interfaces for connecting to a plurality of sensors deployed to monitor at least part of a runway in an airport, the sensors comprising one or more image sensors, audio sensors and/or vibration sensors, and one or more processors coupled to the one or more interfaces. The processor(s) is adapted to receive sensory data from said plurality of sensors, the sensory data comprising image data, audio data and/or vibration data, identify a timing and a location of a landing touchdown event of an aircraft on the runway by analyzing the sensory data and classify the landing touchdown event as a normal landing touchdown event or an abnormal landing touchdown event based on the analysis.

Proposed is a technology that can protect a receiving circuit of a radar device from input of excessive reflected reception power.

A radar device 200 is configured such that, upon detection of an object T within a detection range S, a movement determination unit 211 determines whether the object T is a moving object on the basis of the results of reception. If the object T is determined to be a moving object by the movement determination unit 211, a stoppage controller 212 stops the radar operation of the radar device 200 until the time calculated on the basis of the moving velocity of the object T has elapsed, from the point in time when the reception power reflected by the object T exceeds the preset threshold value Th.

A test method in operational phase includes three distinct steps, a first step using the replies of the transponder to the interrogations in the Mode S transmitted in operational mode by the secondary radar to perform the measurement of the power of the transponder, and the measurement of the average rate of reply to the interrogations in Mode S transmitted by the radar intended for it; a second step which performs the measurement of the sensitivity of the transponder and a third step which carries out the test of its maximum rate of reply. The second step and the third step are carried out by modifying the operating parameters of the radar so that the additional interrogations required for the measurement can be performed, during the time interval following the last operational interrogation during which the aircraft remains located within the main Sum channel lobe of the antenna of the radar.

Automated air traffic control systems and methods may include one or more sensors, such as radar sensors, that are positioned and oriented at opposite ends of a runway. The sensors may detect aerial vehicles on the runway, as well as aerial vehicles within approach corridors at opposite ends of the runway, and other aerial vehicles proximate the runway. Based on data received by the sensors, various characteristics of aerial vehicles can be determined, and instructions for the aerial vehicles can be determined based on the detected characteristics. Then, the aerial vehicles may utilize the determined instructions to coordinate their operations proximate the runway, which may include takeoff, taxiing, and/or landing operations. Further, speech-to-data processing may be used to translate between data and speech or audio input/output in order to enable coordination between unmanned aerial vehicles, manned aerial vehicles, and combinations thereof.

A system of automatically documenting a plurality of aircraft touchdown events detected by analyzing sensory data received from a plurality of sensors, comprising one or more interfaces for connecting to a plurality of sensors deployed to monitor at least part of a runway in an airport, the sensors comprising one or more image sensors, audio sensors and/or vibration sensors, and one or more processors coupled to the one or more interfaces. The processor(s) is adapted to receive sensory data from said plurality of sensors, the sensory data comprising image data, audio data and/or vibration data, identify a timing and a location of a landing touchdown event of an aircraft on the runway by analyzing the sensory data and classify the landing touchdown event as a normal landing touchdown event or an abnormal landing touchdown event based on the analysis.

Disclosed here are system, apparatus, article of manufacture, method and/or computer program product embodiments for track association. An embodiment operates by receiving a first set of track identification data from a first tracking system. The first set of track identification data is associated with a global track identifier (GID). The first set of track identification data associated with the GID is broadcasted to the first tracking system and a second tracking system. A second set of track identification data is received from the second tracking system. The second set of track identification data identifies any tracks of the second tracking system that match the first set of track identification data. The GID is associated with the second set of track identification data.