An electronic device includes a transmission antenna, a reception antenna, and a controller. The transmission antenna transmits a transmission wave. The reception antenna receives a reflected wave that is the reflected transmission wave. The controller detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The controller configures a transmission signal in a second frame among a plurality of frames of the transmission wave differently from a transmission signal in a first frame among the plurality of frames.

The present technology relates to a signal processing device, a signal processing method, a program, and an information processing device capable of reducing processing of folding correction of velocity measured by a radar.

The signal processing device includes a measurement unit that measures, on the basis of an output signal from a radar, a distance and relative velocity of a reflector that reflects a transmission signal from the radar, and a correction unit that performs folding correction of measured velocity of the reflector on the basis of correlation between a measured distance and measured velocity of the reflector at a certain measurement time, and a measured distance and measured velocity of the reflector at a time before the measurement time. The present technology can be applied to, for example, a system that senses an object around a vehicle.

A vehicle environment detection system (2) including a control unit (4) and a sensor arrangement (3) that in turn includes at least two sensor arrangement parts (3a, 3b). The control unit (4) is arranged to determine one or more systematic errors in a certain direction (9, 10) for one sensor arrangement part (3a, 3b) by combining acquired sensor data for the sensor arrangement part (3a, 3b) with acquired sensor data from another sensor arrangement part (3b, 3a). The another sensor arrangement part (3b, 3a) has a lower degree of systematic error in the certain direction (9, 10) than the sensor arrangement part (3a, 3b).

The present disclosure provides an apparatus for complementing automotive radar, which comprises a camera for obtaining an image of a field of view, a radar sensor for transmitting a radar signal and detecting a radar signal reflected by an object, and a controller for obtaining first information on a target from the image, setting a monitoring range of the radar sensor according to the obtained first information, obtaining second information on the target based on a radar signal detected in the monitoring range, and detecting malfunction of the radar by determining whether or not the first information matches the second information, and further provides a method thereof. According to the present disclosure, it is possible to quickly detect malfunction of the radar sensor.

A system and method for detecting a level of misalignment of a vehicle sensor, such as a radar sensor, compared to a reference sensor also associated with the vehicle. The reference sensor may comprise a different type of sensor, such as an optical sensor, motion sensor, or position sensor. One or more reference sensors may be utilized in detecting a level of misalignment.

Apparatus and methods are provided for distance calibration of an autonomous vehicle in a nominally short distance calibration environment. In particular, apparatus, methods and systems are provided using reflective materials to artificially augment a distance to a known target. In various implementations, reflective planes are disposed in pathway between the autonomous vehicle and target. Targets of known sizes can be used to calculated a distance from the autonomous vehicle to the target. Utilizing the known optical pathway, a calibration can be performed. With the aid of an Autonomous Vehicle Rotation Table, the autonomous vehicle is rotated such that a matrix of range-angle calibrations can be executed. Frequency spectra include LiDAR and radar, but any suitable bandwidth and/or detection protocol is not beyond the scope of the present disclosure. To this end, a structured calibration environment can be diminished in size, giving rise to more accurate distance calibrations, both intrinsically and extrinsically.

An embodiment sensor information fusion method includes acquiring a first sensor track from a first sensor mounted in a vehicle and setting a reference sector based on the first sensor track, selecting at least one target track included in the reference sector, and comparatively analyzing an angle between the at least one target track and the first sensor track and generating a fusion track through fusion with the first sensor track based on an analysis result value.

An information processing device (10) includes a generation unit (123) that acquires results of measurement from a first millimeter wave radar (3) and a second millimeter wave radar (5) (corresponding to an example of “a plurality of sensors”) mounted on a host vehicle (V.sub.s) (corresponding to an example of “one mobile apparatus”), that uses, as reference points, other vehicles (V.sub.n) and (V.sub.f) (corresponding to an example of “other mobile apparatuses”) other than the host vehicle (V.sub.s), extracted from the results of the measurement, and that generates calibration parameters between both radars (3) and (5).

Calibration targets for use during calibration and inspection of vehicle onboard radar systems. The calibration targets incorporate materials having different radar reflective and transmissive properties to provide distinct radar return signatures, facilitating identification of the calibration targets from among various radar returns associated with surfaces and objects located in proximity to the calibration targets, thereby reducing clear space requirements associated with target placement and positioning during a vehicle service or inspection procedure.

A computer implemented method for calibrating a radar sensor comprises the following steps carried out by computer hardware components: acquiring a plurality of radar detection data sets; for each of the plurality of radar detection data sets, determining an angle of arrival of the radar detection data under the assumption that the respective radar detection data set is related to a stationary object; for each of the plurality of radar detection data sets, determining a respective set of candidate entries of a calibration matrix of the radar sensor based on the respective angles of arrival determined for the respective plurality of radar detection data sets; and determining a set of entries of the calibration matrix of the radar based on the plurality of sets of candidate entries.