Patent classifications
G01S7/41
METHODS FOR RECOGNIZING HUMAN HAND AND HAND GESTURE FROM HUMAN, AND DISPLAY APPARATUS
A method for recognizing a human hand comprises: recognizing a human body target by using a plurality of frames of detection information acquired by a millimeter wave radar within a preset time period; determining whether a new detection target satisfying setting conditions exists within a preset range centering on the human body target, according to a current frame of detection information, the setting conditions including: having a radial velocity; if so, determining the new detection target satisfying the setting conditions as a hand corresponding to the human body target; and if not, determining that the hand corresponding to the human body target does not exist in the current frame.
ADMINISTRATIVE SERVER IN SHIP NAVIGATION ASSISTANCE SYSTEM, SHIP NAVIGATION ASSISTANCE METHOD, AND SHIP NAVIGATION ASSISTANCE PROGRAM
The present invention provides navigation assistance that is for small ships and that enables clear depiction of a radar image. An administrative server in a ship navigation assistance system, the server being equipped with: a communication means that performs, via a network, data transmission/reception with a user terminal which is connected to a device for detecting a target; and a vertex information management means that, of a plurality of target vertices extracted on the basis of detection result information of the target, identifies vertices moving together as a group as belonging to the same target, wherein, on the basis of the vertices that have been identified as belonging to the same target, the communication means transmits an instruction to the user terminal to display a rough outline of said target.
OBJECT DETECTION SYSTEM AND OBJECT DETECTION METHOD
Provided are a representative point extraction circuitry that extracts a representative reflection point of a target a line segment setting circuitry that sets a plurality of detection line segments of the same length that extend from the representative reflection point and are arranged within the irradiation field at intervals about the representative reflection point as a center, a reflection point counter that counts a coordinate point indicating a reflection level higher than a second threshold value as a reflection point by using the second threshold value, and a reflection point determinator that determines a reflection point counted in the detection line segments to a top second place in which the number of reflection points is large, as a reflection point from the target.
VEHICLE RADAR DEVICE AND CONTROL METHOD
One embodiment of the disclosure relates to a vehicle radar device and a method for controlling the same. According to the present embodiments, a vehicle radar device may comprise an antenna unit including Nt transmission antennas and Nr reception antennas, wherein Nt is a natural number equal to or larger than 1, and Nr is a natural number equal to or larger than 2, a transceiver controlling the transmission antenna to transmit a transmission signal and the reception antenna to receive a reception signal reflected by a target, a signal processor detecting one or more peak signals for the target and separately detecting Nt*Nr channel reception signals corresponding to each peak signal, a target angle estimator calculating a target angle estimate from k channel reception signals selected from among the Nt*Nr channel reception signals, and a target size information estimator calculating size information about the target based on up to .sub.NV*NrCk target angle estimates calculated by the target angle estimator.
Safety system and method
A safety system for localizing a person or object has a control and evaluation unit, at least one radio location system, and at least one spatially resolving sensor for the position determination of the person or object. The radio location system has arranged radio stations, wherein at least one radio transponder is arranged at the person or object. Position data and classification data of the person or object can be determined by means of the radio location system. The position data and the classification data can be transmitted from the radio station to the control and evaluation unit and position data and contour data of the person or object can be determined by means of the spatially resolving sensor. The control and evaluation unit is configured to compare the position data of the radio location system and the position data of the spatially resolving sensor.
Determining relevant signals using multi-dimensional radar signals
A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.
Determining relevant signals using multi-dimensional radar signals
A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.
Interferometrics for mesa radar
The present disclosure is a system comprising at least three electronically steered antennas arranged so that there is a baseline difference of a predetermined amount of wavelength between the centers of the antennas, typically configured as an obtuse or scalene triangle, where the distance between each antenna on an array is selected to provide the required accuracy and precision, the array having a timing circuit to ensure that the beam of each antenna is steered to the same azimuthal and elevation coordinates in space simultaneously. This enables the three electronically steered antennas to operate as an interferometer to determine a bearing to a target to ultimately determine the location thereof. The electronically steered antennas enable the system to be mounted on a platform in a small package that was previously difficult for traditional interferometers.
METHOD FOR DETECTING AT LEAST ONE ROAD USER
The invention relates to a method for detecting at least one road user on a traffic route by means of a radar sensor and an optical detector, wherein with said method radar radiation is emitted by at least one radar transmitter of the radar sensor and reflected by the at least one road user, the reflected radar radiation is detected by means of at least one radar receiver of the radar sensor, the detected radar radiation is evaluated in such a way that at least one distance and one radial velocity of the at least one road user relative to the radar sensor is determined, an optical image of the at least one road user is detected by means of the optical detector, and the optical image is evaluation,
wherein at least one parameter of the at least one road user is determined both from the detected radar radiation and the optical image.
ASSOCIATION OF CAMERA IMAGES AND RADAR DATA IN AUTONOMOUS VEHICLE APPLICATIONS
The described aspects and implementations enable fast and accurate object identification in autonomous vehicle (AV) applications by combining radar data with camera images. In one implementation, disclosed is a method and a system to perform the method that includes obtaining a radar image of a first hypothetical object in an environment of the AV, obtaining a camera image of a second hypothetical object in the environment of the AV, and processing the radar image and the camera image using one or more machine-learning models MLMs to obtain a prediction measure representing a likelihood that the first hypothetical object and the second hypothetical object correspond to a same object in the environment of the AV.