A method for calibrating a modular fill-level gauge based on a capacitive, an ultrasonic, or a radar based measuring principle and including components as follows: a sensor module, an electronics module and a transmission module comprises connecting the transmission module with the sensor module, calibrating the sensor module, and instructing the electronics module relative to the installed height. This simplifies the calibrating of the fill-level gauge, since it does not have to be applied to the entire fill-level gauge but only to the sensor module. In this way, a corresponding calibration setup only needs to be kept at the site of the sensor module manufacture, and not supplementally at the site of the final manufacture, where all modules of the fill-level gauge are put together. Correspondingly, also the possible creating of a calibration protocol is simplified.

The present disclosure is directed to checking and updating the calibration of a sensing apparatus at an autonomous vehicle (AV). After a sensing apparatus of an AV has been initially calibrated (e.g., when the AV is manufactured) calibration of that sensing apparatus may be checked or updated using data collected from similar vehicles of a fleet of vehicles. Each of the different vehicles of this fleet may identity its location and report that location. A first of these vehicles may receive data that identifies the location of a second vehicle. A sensing apparatus of the first vehicle may then identify locations of features at the second vehicle and a processor of the sensing apparatus may perform calculations to identify whether calibration of the sensing apparatus has changed. Parameters that adjust the calibration of the sensing apparatus may then be updated to maintain calibration of a sensing apparatus within acceptable tolerances.

The present teaching relates to different configurations for facilitating calibration of multiple sensors of different types. A plurality of fiducial markers are arranged in space for simultaneously calibrating multiple sensors of different types. Each of the plurality of fiducial markers has a feature point thereon and is provided to enable the multiple sensors to calibrate by detecting the features points and estimating their corresponding 3D coordinates with respect to respective coordinate systems of the multiple sensors.

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.

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).

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.

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).

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.

An in-vehicle sensor device has an active sensor, an odometry sensor and a processing part. The processing part calculates estimated detection values of a stationary object by using position information parameters, a mounting angle of the active sensor, and a detection error of the odometry sensor. The position information parameters specify a relative position relationship between the stationary object and the active sensor. The processing part updates the position information parameters, the mounting angle, and the detection error simultaneously on the basis of a difference between the estimated detection value which has been calculated, and the position values of the stationary object detected by the active sensor.

The disclosure relates to a radar device and a control method. Specifically, according to the disclosure, a radar device comprises a transmitter controlling to transmit a frequency-modulated transmission signal, a receiver receiving a reception signal which is the transmitted transmission signal reflected by an object, an angle estimator estimating a first angle for a position of the object, with respect to a host vehicle, during one frame, based on a result obtained by performing fast Fourier transform (FFT) on the reception signal and estimating a second angle which is a virtual angle for the position of the object during a plurality of frames, and a controller calibrating the first angle by comparing the estimated first angle and the estimated second angle.