A cognitive transmission switching array radar system to determine a location of a target and method of performing cognitive transmission switching with an array radar system involve N transmit antenna elements. Aspects include obtaining a crude estimation for the location of the target, and selecting M channels for transmission based on the crude estimation, the M channels corresponding with a subset of the N transmit antenna elements. Processing reflections resulting from the M channels is done to determine the location of the target.

A signal processing method for a frequency-modulated continuous waveform (FMCW) radar system includes receiving a plurality of feedback signals from a plurality of targets and performing analog to digital conversion on the plurality of feedback signals to obtain a digital receiving signal corresponding to the plurality of feedback signals, performing a window function on the digital receiving signal to obtain a window transformation signal corresponding to the digital receiving signal, performing time-domain to frequency-domain conversion on the window transformation signal to obtain a spectrum signal of the window transformation signal, performing two beat frequency detections on the spectrum signal, and determining distances and speeds of the plurality of targets in comparison to the FMCW radar system according to results of the two beat frequency detections.

A signal processing method for a frequency-modulated continuous waveform (FMCW) radar system includes receiving a plurality of feedback signals from a plurality of targets and performing analog to digital conversion on the plurality of feedback signals to obtain a digital receiving signal corresponding to the plurality of feedback signals, performing a window function on the digital receiving signal to obtain a window transformation signal corresponding to the digital receiving signal, performing time-domain to frequency-domain conversion on the window transformation signal to obtain a spectrum signal of the window transformation signal, performing two beat frequency detections on the spectrum signal, and determining distances and speeds of the plurality of targets in comparison to the FMCW radar system according to results of the two beat frequency detections.

An abnormality detection method of an infrastructure sensor apparatus according to the present disclosure is an abnormality detection method of an infrastructure sensor apparatus configured to detect a mobile body that passes within a sensing range, the abnormality detection method including: calculating mobile body information at least including positional information and moving speed information on the mobile body based on information on the mobile body detected by the infrastructure sensor apparatus; calculating probe data at least including positional information and moving speed information on the mobile body based on self positional information of the mobile body received using a radio communication function included in the mobile body; and performing abnormality determination processing in which it is determined that there is an abnormality in the infrastructure sensor apparatus when the mobile body information does not match the probe data.

A deceleration detection apparatus including an object detection device that detects an object around a subject vehicle, a rainfall detection device that detects a rainfall state around the subject vehicle, a brightness detection device that detects a brightness around the subject vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform determining whether a forward vehicle traveling in front of the subject vehicle decelerates, based on an amount of change in a vehicle speed of the forward vehicle detected by the object detection device, a lighting state of a brake lamp of the forward vehicle detected by the object detection device, the rainfall state detected by the rainfall detection device, and the brightness detected by the brightness detection device.

The present invention suggests a target detecting apparatus and method using a radar which detect a target using a recursive modified cell average-constant false alarm rate (RMCA-CFAR) detector without having a sorting process. The present invention provides a target detecting apparatus using a radar, the apparatus including: a data selecting unit which compares reference data with at least one of previous data and subsequent data which are located at both sides of the reference data, from a received signal including information on a distance and a speed for multiple targets, to select specific data; a cell average calculating unit which calculates an average of cells extracted using a sliding window including the specific data; a CFAR data detecting unit which detects CFAR data based on the average of the extracted cells; and a target detecting unit which detects the target based on the CFAR data.

An illustrative example embodiment of a computer implemented method for estimating a vertical profile of a road in front of or behind a host vehicle includes monitoring a detection point at a surrounding or preceding vehicle by a sensor on the host vehicle, determining at least one value for a height of the detection point with respect to a reference level at the host vehicle based on the elevation angle of the detection point, and estimating the vertical profile of the road based on the at least one value for the height of the detection point. An estimation of a height of the object with respect to a road surface may be corrected by the estimated vertical profile.

An electronic system for mapping a work site that includes a plurality of radar sensors to be provided on vehicles moving on the site, the radar sensors being able to detect objects included in a respective area of detection and acquire their relative positions. The system includes a speed module configured for determining a speed parameter for objects detected by the radar sensors, according to their relative positions. The system also includes a classification module configured for classifying detected objects as standing still or moving objects according to the respective speed parameters, and a map module configured for creating a common map of the site providing the positions of standing still objects detected in the site by said plurality of radar sensors, according to a reference system.

An electronic system for mapping a work site that includes a plurality of radar sensors to be provided on vehicles moving on the site, the radar sensors being able to detect objects included in a respective area of detection and acquire their relative positions. The system includes a speed module configured for determining a speed parameter for objects detected by the radar sensors, according to their relative positions. The system also includes a classification module configured for classifying detected objects as standing still or moving objects according to the respective speed parameters, and a map module configured for creating a common map of the site providing the positions of standing still objects detected in the site by said plurality of radar sensors, according to a reference system.

A method and device for tracking a movable target, relating to the technical field of tracking. In the situation where a tracked movable target travels at a low speed or stops traveling, whether the target is a stationary object or a tracked movable target can still be identified. The method for tracking a movable target comprises: acquiring radar monitoring data of all radar monitoring targets; extracting lateral position data of each radar monitoring target from the radar monitoring data; determining a lateral position change of each radar monitoring target according to the extracted lateral position data; and when the lateral position change of one or more radar monitoring targets from among all the radar monitoring targets is greater than a pre-set threshold value, determining that the one or more radar monitoring targets are tracked movable targets.