A tracking device is provided, which may include a correction target area setting module configured to set an area in which an unnecessary echo tends to be generated based on a structure or behavior of a ship, as a correction target area, a correction target echo extracting module configured to extract a target object echo within the correction target area from a plurality of detected target object echoes, as a correction target echo, a scoring module configured to score a matching level between previous echo information on a target object echo and detected echo information on each of the target object echoes, based on the previous echo information, the detected echo information and the extraction result, and a determining module configured to determine a target object echo as a current tracking target by using the scored result.

An angle only (AO) target state estimation (TSE) system and method using a mixed coordinate system (Modified Spherical Coordinate (MSC) and Reference Cartesian Coordinate (RCC)) as an integrated system. This integrated system is achieved due to the state vector information of two frames (RCC and MSC) is effectively preserved between processing cycles and state vector transformation steps. The AO TSE architecture and processing schemes are applicable to a wide class of passive sensors. The mixed coordinate system provides robust real-time slant range estimation in a bootstrap fashion, thus turning passive AO measurements into equivalent active sensor measurements with built-in recursive range information but with greatly improved the TSE accuracy meeting the miss distance required by many engagement missions.

An angle only (AO) target state estimation (TSE) system and method using a mixed coordinate system (Modified Spherical Coordinate (MSC) and Reference Cartesian Coordinate (RCC)) as an integrated system. This integrated system is achieved due to the state vector information of two frames (RCC and MSC) is effectively preserved between processing cycles and state vector transformation steps. The AO TSE architecture and processing schemes are applicable to a wide class of passive sensors. The mixed coordinate system provides robust real-time slant range estimation in a bootstrap fashion, thus turning passive AO measurements into equivalent active sensor measurements with built-in recursive range information but with greatly improved the TSE accuracy meeting the miss distance required by many engagement missions.

A method for determining the spatial orientation of an object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation. A method for predicting the trajectory of at least one object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation, in conjunction with a scalar velocity of the object. A method for training a classifier and/or a regressor.

A method for determining the spatial orientation of an object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation. A method for predicting the trajectory of at least one object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation, in conjunction with a scalar velocity of the object. A method for training a classifier and/or a regressor.

An authentication device including: a processor; a first communication section installed at a vehicle and configured to perform first wireless communication with a terminal; and a plurality of second communication sections installed at the vehicle and configured to perform second wireless communication with the terminal, the processor being configured to: compute a distance and an angle of a position of the terminal with respect to the first communication section based on the first wireless communication of the first communication section with the terminal; cause a second communication section that, out of the plurality of second communication sections, corresponds to the computed angle, to execute the second wireless communication with the terminal; and determine, based on the executed second wireless communication and the computed distance, whether or not the terminal is present in an area corresponding to the second communication section executing the second wireless communication.

An authentication device including: a processor; a first communication section installed at a vehicle and configured to perform first wireless communication with a terminal; and a plurality of second communication sections installed at the vehicle and configured to perform second wireless communication with the terminal, the processor being configured to: compute a distance and an angle of a position of the terminal with respect to the first communication section based on the first wireless communication of the first communication section with the terminal; cause a second communication section that, out of the plurality of second communication sections, corresponds to the computed angle, to execute the second wireless communication with the terminal; and determine, based on the executed second wireless communication and the computed distance, whether or not the terminal is present in an area corresponding to the second communication section executing the second wireless communication.

An object detection apparatus in a vehicle is provided. The object detection apparatus includes one or more sensors configured to detect at least one object located on at least three rows of seats in the vehicle, the one or more sensors being positioned on a ceiling of the vehicle. The object detection apparatus further includes a circuit configured to determine whether or not the at least one object detected is a living-object. A number of the one or more sensors is less than a number of the at least three rows of seats.

An object detection apparatus in a vehicle is provided. The object detection apparatus includes one or more sensors configured to detect at least one object located on at least three rows of seats in the vehicle, the one or more sensors being positioned on a ceiling of the vehicle. The object detection apparatus further includes a circuit configured to determine whether or not the at least one object detected is a living-object. A number of the one or more sensors is less than a number of the at least three rows of seats.

A sensor system includes: a radar system configured to emit a radar beam and receive reflected radar signals from in a field of view of the radar system; a camera system including one or more cameras, at least one camera including a linear polarization filter in an optical axis of the camera, a field of view of the camera system overlapping the field of view of the radar system; and a processing system including a processor and memory, the memory storing instructions that, when executed by the processor, cause the processor to: receive radar data based on the reflected radar signals captured by the radar system; receive polarization raw frames captured by the camera system; and compute a track of a target in the field of view of the camera system and the field of view of the radar system based on the radar data and the polarization raw frames.