Detection method, detection device, detection system and radar

Abstract

An embodiment of the present application provides a detection method, a detection device, a detection system, and a radar. The method includes: listening to at least one signal from at least one direction, where the at least one signal includes a first signal corresponding to the first direction; Transmitting a second signal, where the second signal is used to indicate the predicted interference time-frequency range; wherein, the time-frequency ranges of the first signal and the second signal satisfy at least one of the following: the frequency domain range of the first signal is the second signal A subset of the frequency domain extent of the first signal; or, the time domain extent of the first signal is a subset of the time domain extent of the second signal. The present application can indicate the interference time-frequency range to the second direction in the form of transmitting the second signal, so that the second detection device can obtain the interference time-frequency range in the non-line-of-sight area, and improve the accuracy of target detection by the second detection device. This solution can further be used in the field of automatic driving, intelligent driving or unmanned driving to improve the ability of the vehicle to avoid interference and improve the driving safety of the vehicle.

Description

Detection method, detection device, detection system and radar technical field The application relates to radar technology, is applied to the fusion perception field of automatic driving or intelligent driving, especially relates to A detection method, detection device, detection system and radar. Background technique [0002] With the development of society, smart cars are gradually entering people's daily life. Sensors in Smart Cars It plays a very important role in assisted driving and autonomous driving. Various sensors installed in the car, such as Millimeter-wave radar, lidar, ultrasonic radar, cameras, etc., can perceive the surrounding environment and distinguish the Recognize and track moving objects, and recognize stationary scenes (eg lane markings, signage). In short, the sensor can predict in advance Sensing the possible danger, helping the driver in time, and taking necessary evasive measures, effectively increasing the driving of the car safety an...

AI Technical Summary

Problems solved by technology

However, the interference interception technology needs to have sufficient time for interception in order to judge the resource occupancy more accurately. In some scenarios, such as intersections, T-shaped intersections, etc. Blocking) to form a non-line of sight (NLOS) situation, only when vehicles in different directions approach or turn, and the field of view (FOV) has a large overlap can they detect each other's signals , that is, there is less time left for listening, which makes the listening effect poor and affects the final interference avoidance effect

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