The present application discloses a testing method and apparatus for a vehicle perception system, a device and a storage medium, and relates to data processing and, in particular to the field of artificial intelligence such as automatic driving, intelligent transportation, etc. A specific implementation scheme lies in: acquiring an actual speed and a perceptual speed of a test object, where the perceptual speed of the test object is a speed of the test object perceived by the vehicle perception system; determining, according to the actual speed of the test object and the perceptual speed of the test object, speed reporting delay time of the vehicle perception system, where the speed reporting delay time is used to reflect sensitivity of the vehicle perception system to perceive a speed of an obstacle.

A calibration system and a calibration bracket are provided. The calibration bracket includes a base, a stand assembly and a support assembly. One end of a fixed vertical rod is mounted to the base, and a movable vertical rod is mounted to another end of the fixed vertical rod. The support assembly is mounted to the movable vertical rod. A driving mechanism includes a first threaded rotating member, a second threaded rotating member and a threaded fixed member. The first threaded rotating member is mounted to the fixed vertical rod. The second threaded rotating member includes a first threaded structure and a second threaded structure. The second threaded rotating member is mounted to the first threaded rotating member through the first threaded structure and is mounted to the threaded fixed member through the second threaded structure. The threaded fixed member is fixedly mounted to the movable vertical rod.

Disclosed is a method and apparatus for processing a radar signal by correcting a phase distortion. The method includes generating radar data based on a radar transmission signal transmitted through an array antenna of a radar sensor based on a frequency modulation model and a radar reception signal received through the array antenna as the radar transmission signal is reflected by a target, correcting the radar data using a correction vector for correcting a feedline error occurring due to a feedline delay difference between channels of the array antenna, and estimating a direction of arrival corresponding to the corrected radar data using a direction matrix reflecting a phase shift of the corrected radar data according to frequency modulation characteristics of the frequency modulation model.

A radar target simulator front end, configured to simulate at least one radar target for testing a radar device under test is provided. The radar target simulator front end comprises at least two antenna units, arranged along a first angle under investigation. The at least two antenna units are configured to be selectively activated and deactivated. Whereby each antenna unit of the at least two antenna units generates a simulated radar target along the first angle under investigation, when activated.

A method for calibrating an ADAS sensor of an advanced driver assistance system of a vehicle (9) comprises the following steps: (A) deriving an attitude parameter of the vehicle (9); receiving the derived attitude parameter in a control unit (11); (B) comparing the derived attitude parameter with a corresponding reference parameter; (C) aiding with the positioning of a support structure (3) near the service area (8), where a calibration device (41) is mounted on the support structure (3); sending a calibration command from the control unit (11) to an electronic control unit (95) of the vehicle (9) to determine an interaction between the ADAS sensor and the calibration device (41); processing data received from the electronic control unit (95) of the vehicle (9) in the control unit (11).

Provided is a vehicle capable of performing safe autonomous driving by selecting a recognition area of a sensor for performing autonomous driving and maximizing the performance of the sensor according to a situation. The vehicle for performing autonomous driving includes a communication part, a driving part configured to drive the vehicle and acquire information about an element that drives the vehicle, an information acquisition part including a camera, a radar and a LiDAR, and a control part. The control part is configured to determine road condition information of a road on which the vehicle travels based on a signal acquired from the communication part, determine travel information of the vehicle based on information acquired from the driving part, receive a recognition result of the information acquisition part, determine a required performance based on the road condition information, the vehicle travelling information, and the recognition result, and change an object recognition.

A system for generating target information for a multi-radar target simulator includes: a modelling unit configured to generate a plurality of objects so as to be located within a plurality of radar detection ranges of a front radar sensor; an object arranging unit configured to arrange the plurality of objects located in each of the plurality of radar detection ranges in a distance order and select at least two objects among the plurality of arranged objects based on an order close to the front radar sensor and the same travelling direction; and a simulator control unit configured to select at least two objects as targets from the at least two objects selected by the object arranging unit as targets and control a multi-radar target simulator by using information about said at least two selected targets.

An apparatus is for generating an emulated radar reflection signal of a target. The apparatus includes a radar detector configured to detect a radar signal frame emitted by a device under test (DUT), an emulation transmitter configured to generate an emulated radar reflection signal of a target being emulated, and a processor configured to generate control signals which control the emulation transmitter according to at least one characteristic of the target being emulated. The processor is further configured to determine a current radar parameter among plural possible radar parameters of the radar signal frame of the DUT, and to adapt the control signals which control the emulation transmitter according to the determined current radar parameter of the radar signal frame of the DUT.

An apparatus is for generating an emulated radar reflection signal of a target moving at a relative velocity. The apparatus includes a radar detector, an emulation transmitter, and a processor. The radar detector is configured to detect radar chirps emitted by a device under test (DUT), where the chirps are emitted at random time intervals. The emulation transmitter is configured to generate emulated radar reflection signals of the target being emulated. The processor is configured to generate control signals at intervals corresponding to the random time intervals at which the radar chirps are emitted by the DUT, where each control signal controls the emulation transmitter to generate a radar reflection signal. A relative phase of the control signals is adjusted according to a duration of each of the random time intervals between successive chirps and a magnitude and sign of the relative velocity of the target.

The disclosure relates to a simulation device for motor vehicle monitoring, wherein a radar sensor (2) and a camera sensor (3) and a LiDAR light receiving sensor (1) and a computer (4) are present, wherein the radar sensor (2) can be controlled via a radar signal transmitter, and the camera sensor (3) can be controlled via a lens, and the LiDAR light receiving sensor (1) can be controlled via a light transmitter.