The invention relates to a method for detecting a screening of a sensor device (4) of a motor vehicle (1) by an object (8), in which at least one echo signal, captured by the sensor device (4), that characterizes a spacing between the sensor device (4) and the object (8) is received (S1) by means of a computing device (3), a capture region (E) for the sensor device (4) is determined, and on the basis of the at least one received echo signal it is checked whether the capture region (E) of the sensor device (4) is being screened by the object (8), at least in some regions, wherein the at least one echo signal is assigned by means of the computing device (3) to a discrete spacing value (B1, B2, B3) from a plurality of discrete spacing values (B1, B2, B3), for each of the discrete spacing values (B1, B2, B3) a power value (P) is determined (S2) on the basis of the echo signal, and on the basis of the power values (P) a decision is made by means of a classifier as to whether at least a predetermined proportion of the capture region (E) of the sensor device (4) is being screened (S6) by the object (8).

An imaging system to reconstruct a reflectivity image of a scene including an object moving with the scene. A tracking system to track a deforming object to estimate an object deformation for each time step. Sensors acquire snapshots of the scene, each acquired snapshot of the object includes measurements in the object deformation for that time step, to produce a set of object measurements with deformed shapes over the time steps. Compute a correction to estimates of object deformation for each time step, with matching measurements of the corrected object deformation for each time step to measurements in the acquired snapshot of object for that time step. Select a corrected deformation over other corrected deformations for each time step, according to a distance between the corrected deformation and the estimate of the deformation, to obtain a final estimate of the deformation of the deformable object moving in the scene.

A device and method for reducing noise of an external measurement sensor of mobility, including a storage unit that stores measurement values of an external measurement sensor of mobility including an ultrasonic sensor measuring distance values between the mobility and an object outside the mobility; and an operation unit that generates a plurality of functions capable of being derived from the measurement values stored in the storage unit, derives a final function having the most measurement values within a first range, among the plurality of functions, derives an estimated value that is an expected value of the measurement value through the final function, and selects a candidate final value that is the closest to the estimated value within a second range, among actual measurement values at a time point corresponding to the estimated value, as a final value.

Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.

Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.

A method for interpolated virtual aperture array radar tracking includes: transmitting first and second probe signals; receiving a first reflected probe signal at a radar array; receiving a second reflected probe signal at the radar array; calculating a target range from at least one of the first and second reflected probe signals; corresponding signal instances of the first reflected probe signal to physical receiver elements of the radar array; corresponding signal instances of the second reflected probe signal to virtual elements of the radar array; interpolating signal instances; calculating a first target angle; and calculating a position of the tracking target relative to the radar array from the target range and first target angle.

A method for interpolated virtual aperture array radar tracking includes: transmitting first and second probe signals; receiving a first reflected probe signal at a radar array; receiving a second reflected probe signal at the radar array; calculating a target range from at least one of the first and second reflected probe signals; corresponding signal instances of the first reflected probe signal to physical receiver elements of the radar array; corresponding signal instances of the second reflected probe signal to virtual elements of the radar array; interpolating signal instances; calculating a first target angle; and calculating a position of the tracking target relative to the radar array from the target range and first target angle.

Methods and systems for detecting a person located around a piece of equipment. One system includes processor configured to define a first virtual zone around a piece of equipment, determine a location of a person, and define a second virtual zone around the person at the location. As the location of the person changes, the processor is further configured to determine a direction of travel of the person, and automatically modify the second virtual zone to extend a first distance in the direction of travel of the person and extend in a second distance opposite the direction, wherein the first distance is greater than the second distance. In response to at least a portion of the second virtual zone overlapping with at least a portion of the first virtual zone, the processor is configured to perform at least one action.

Methods and systems for detecting a person located around a piece of equipment. One system includes processor configured to define a first virtual zone around a piece of equipment, determine a location of a person, and define a second virtual zone around the person at the location. As the location of the person changes, the processor is further configured to determine a direction of travel of the person, and automatically modify the second virtual zone to extend a first distance in the direction of travel of the person and extend in a second distance opposite the direction, wherein the first distance is greater than the second distance. In response to at least a portion of the second virtual zone overlapping with at least a portion of the first virtual zone, the processor is configured to perform at least one action.

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.