An ejectable flight data recorder for robust retention of flight data and aiding in locating an aircraft after an emergency situation comprises: a buoyant housing comprising an internal cavity, a door for access to at least a portion of the internal cavity, and an aerodynamic outer shape having a longitudinal axis; an energy-dissipating nose cone for reducing an impact load on the housing when the flight data recorder impacts a water surface; a nonvolatile memory configured to store flight data; a position sensor for detecting a geographic position of the flight data recorder; a radio transmitter; an antenna electrically coupled to the radio transmitter; a sustainable power system; and a hydrophone for acoustically tracking a sinking trajectory of the aircraft in a body of water.

A trajectory detection method and a trajectory detection system are provided. The method includes: receiving, on a first vehicle, from a second vehicle, dynamic data containing at least one dynamic feature of the second vehicle; detecting a relative position of the second vehicle with regard to the first vehicle using an object detection sensor mounted on the first vehicle; and generating a trajectory of the second vehicle based on the relative position and the dynamic data. Accuracy may be improved.

A trajectory detection method and a trajectory detection system are provided. The method includes: receiving, on a first vehicle, from a second vehicle, dynamic data containing at least one dynamic feature of the second vehicle; detecting a relative position of the second vehicle with regard to the first vehicle using an object detection sensor mounted on the first vehicle; and generating a trajectory of the second vehicle based on the relative position and the dynamic data. Accuracy may be improved.

A method and system for integrating multiple measurement hypotheses in an efficient labeled multi-Bernoulli (LMB) filter. The LMB filter estimates a plurality of tracks for a plurality of objects, each track of the plurality of tracks having a unique label, a probability, and a state, wherein each track of the plurality of tracks is associated to an object of a plurality of objects to be tracked, each object having an object state. The method receives one or more measurement hypotheses of the multiple measurement hypotheses for each object of the plurality of objects; updates each track of the plurality of tracks based on the respective track and the one or more measurement hypotheses of the multiple measurement hypotheses; determines, for each combination of track of the plurality of tracks and measurement hypothesis, a likelihood η.sub.i(j, k); samples, for each iteration of a plurality of iterations, an update hypothesis γ.sup.(t), based on an association of each track of the plurality of tracks to one of: a measurement hypothesis, an events missed detection, or a track dying detection; determining the state of each track of the plurality of tracks based on its respective associations in the updated hypotheses γ.sup.(t); extracts, for each track of the plurality of tracks, an existence probability; predicting the object state of each object of the plurality of objects with respect to a next measurement time; determines, whether another update is to be performed; and if another update is to be performed, repeats again the method steps from and including updating each track of the plurality of tracks.

Systems and methods for determining a location of an object within a sonar beam zone are detailed herein. A system for presenting marine data includes at least one sonar transducer associated with a watercraft, a display, processor(s), and a memory including a computer program code. The sonar transducer emits sonar beams into an underwater environment defining a beam shape. The program code, when executed, causes, on the display, presentation of a chart and a representation of the watercraft; and determines, based on the beam shape corresponding to the sonar transducer, a sonar beam zone corresponding to a sonar coverage of the underwater environment of the body of water. The program code further receives sonar return data and determines a position of an object within the sonar beam zone, and causes, on the display, presentation of the sonar beam zone and an indication of the object within the sonar beam zone.

Systems and methods are provided for aerostat deployable from sonobuoy launch container. One embodiment is an apparatus that includes a capsule configured to launch from an aircraft and float in seawater with one or more sonobuoys. The capsule includes a receiver configured to receive sonobuoy data from the one or more sonobuoys, a transmitter configured to transmit the sonobuoy data to the aircraft, a cable configured to power the transmitter via a battery, and a reaction chamber including a reactant and configured to generate a gas from the seawater mixing with the reactant. The capsule also includes an aerostat tethered to the capsule via the cable and configured to inflate with the gas produced by the reaction chamber, and to ascend above the capsule with the transmitter to increase a distance for transmitting the sonobuoy data to the aircraft.

An eye tracking unit that includes one or more transmitters that transmit a signal (e.g., a radar signal or an ultrasonic sound) at an eye, one or more receivers that receive a reflection of the signal generated by interaction of the signal with the eye, and an eye orientation estimation module that estimates an orientation of the eye based on the reflected signal received by the one or more ultrasonic receivers and based on a model of the eye. The eye tracking unit may be part of a head-mounted display (HMD) that includes a display element configured to display content to a user wearing the HMD. The model of the eye may be trained by displaying a visual indicator on the electronic element and detecting a reflected signal corresponding to the eye looking at the visual indicator.

A method for managing track crossovers and a device for tracking mobile objects that is suitable for implementing the method are provided. The method for managing track crossovers comprises, for each track at a given time, a step Stp1 of testing in order to determine whether the track in question is ambiguous or not at the given time and, if the track is ambiguous, a step Stp2 of specific processing of the estimate of the track.

A method for managing track crossovers and a device for tracking mobile objects that is suitable for implementing the method are provided. The method for managing track crossovers comprises, for each track at a given time, a step Stp1 of testing in order to determine whether the track in question is ambiguous or not at the given time and, if the track is ambiguous, a step Stp2 of specific processing of the estimate of the track.

A concept of characterizing an object based on measurement samples from one or more location sensors, the measurement samples having a first spatial resolution. The measurement samples are quantized to a grid map of weighted cells having a second spatial resolution lower than the first spatial resolution, wherein a measurement sample contributes to a weight coefficient of one or more weighted cells depending on a measurement accuracy. Parameters of one or more lines fitting the weighted cells are computed to obtain a characterization of the object.