The present invention relates to a security surveillance microwave sensor having a reduced false report rate by means of biological signal detection, which monitors and determines a malfunction state or a false alarm generated by environmental factors by detecting humans, animals or objects approaching within a predetermined distance using a microwave signal. The present invention may extend the monitoring distance of security surveillance, set an IF frequency band disturbed by a human body, amplify the IF frequency or use a change in the voltage level to extend the monitoring distance, manage a monitoring state by double-checking transmission and reception of security signals, and reduce the false report rate by distinguishing the false alarms or the malfunction state of the sensor.

A method for checking a calibration of N environmental sensors, wherein the N environmental sensors acquire an environment and each provide sensor data, N subfusions are formed from the acquired sensor data, each of the N subfusions leaves sensor data of one singular one of the N environmental sensors unconsidered upon the fusing, fusion results of the N subfusions are compared to one another, an incorrect calibration of the N environmental sensors is established based on a comparison result, and a check result is provided. Also disclosed are an associated device and a transportation vehicle.

A conventional millimeter wave radar cannot detect a failure when there is not satisfied the condition that a road exists in front of a vehicle or that in two or more radar apparatuses, a leakage electric wave from another radar can be detected. A failure detection apparatus according to the present disclosure calculates reception power values from a reception processing signal for each antenna and compares the reception power value with a reference power value determined by a reference power calculation unit so as to perform a failure determination. There is provided a failure determination unit that compares the reference power value for a failure determination with the power value obtained from a reception processing signal outputted from each of receivers so as to perform a failure determination for each of the receivers.

An object recognition determination produced by a perception system from data received from a ranging sensor system can be verified. A certificate can be produced that includes data for points of readings from the ranging sensor system. The points can have been segmented, by the perception system, into point sets that correspond to objects in an environment of a cyber-physical system. The certificate can also include lists of pairs of points in a point set and a velocity of the point set. A test of information in the certificate can be performed. Based on a result of the test: a rectification can be made to the perception system or the ranging sensor system or a communication can be transmitted to a control signal production module configured to produce, in response to the communication, a control signal to be transmitted to an actuator system configured to control the cyber-physical system.

For example, a radar apparatus may include a mismatch calibrator configured to determine antenna mismatch calibration information to calibrate an antenna mismatch of a radar antenna array comprising a plurality of receive (Rx) antennas; and a processor to process radar Rx data, and to generate radar information based on the radar Rx data and the antenna mismatch calibration information, the radar Rx data is based on Rx radar signals received at the plurality of Rx antennas.

A snapshot comprises a plurality of signals is received where each of the plurality of signals reflected from a respective source and received by an antenna array. A first DoA estimator determines, based on the received snapshot, a plurality of DoAs, the plurality of DoAs comprising a respective DoA for each of the plurality of signals. A reliability of the plurality of DoAs is measured. In response to the reliability of the plurality of the DoAs exceeding a threshold, at least one of the plurality of the DoAs determined by the first DoA estimator is output. In response to the reliability of the plurality of the DoAs not exceeding the threshold, a second DoA estimator determines based on the received snapshot a second plurality of DoAs comprising a respective DoA of each of the plurality of signals and outputs at least one of the second plurality of DoAs.

A a method for managing a secondary radar operating in Mode S, the method includes a) a detection in “seeking mode”, the “seeking mode” being implemented until an aircraft is detected by the secondary radar; b) a detection in “tracking mode”, the “tracking mode” being implemented if a valid response to a roll-call interrogation was detected in “seeking mode”; the method comprising an intermediate step a1), which is executed between the detection in “seeking mode” and the detection in “tracking mode”, the intermediate step comprising: detecting the presence or absence of the reply of the aircraft in a noise window of the secondary radar; carrying out at least one roll-call interrogation, using the first monitoring window, if the reply of the aircraft is not located in the noise window.

A radio wave transceiver system, including: at least one waveguide made of a dielectric material; a transceiver circuit coupled to a first end of each of said at least one waveguide, capable of transmitting and/or of receiving radio waves respectively propagating in said at least one waveguide; and at least one antenna coupled to a second end of said at least one waveguide, capable of transmitting and/or of receiving said waves to/from a non-guided external medium.

A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.

Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.