A method for millimeter wave radar scene reproduction and data parameter adjustment based on Ethernet

Abstract

The present invention proposes a method for reproducing millimeter wave radar scenes and adjusting data parameters based on Ethernet, comprising the following steps: acquiring collected data, wherein the collected data includes synchronously acquired scene data and video data; adjusting the processing parameters of the scene data to obtain multiple groups of expected data; comparing the degree of similarity between each group of expected data and video data and scoring; obtaining the optimal processing parameters corresponding to the optimal scoring result according to the scoring result; importing the optimal processing parameters and scene data into a PC terminal to obtain a PC terminal simulation result; importing the optimal processing parameters and scene data into a radar terminal to obtain a radar terminal simulation result. The present invention optimizes the parameters of the scene data, selects the optimal processing parameters, and combines the scene data and the optimal processing parameters, so as to facilitate scene data analysis, parameter adjustment, and verification problems in a laboratory environment, saves testing and development time, and improves development efficiency.

Description

Technical Field

[0001] The present invention relates to the field of assisted driving technology, and in particular to a method for reproducing millimeter-wave radar scenes and adjusting data parameters based on Ethernet. Background Art

[0002] In recent years, road safety has become a global challenge faced by the road traffic system. Due to the continuous improvement of automobile safety standards in various countries, the active safety technology advanced driver assistance system (ADAS) has shown a rapid development trend in recent years. For the target recognition technology in the field of ADAS, from the perspective of different working principles, it is mainly realized through ultrasound, laser, image, and millimeter wave. Based on the comprehensive consideration of overall cost, reliability in harsh environments, and target recognition performance, millimeter wave radar has become a key factor in promoting this field.

[0003] Existing millimeter-wave radars need to conduct road tests over and over again when verifying problems and modifying parameters, and it is difficult to ensure that each road test scenario is exactly the same as the scenario where the problem occurs. For example, during a road test, a certain section of road is in a specific surrounding environment, and due to external co-frequency interference, signal processing will be abnormal. At this time, developers need to conduct road tests over and over again to analyze, solve and verify the problem. This is time-consuming and labor-intensive, and may not completely solve the problem, which brings huge challenges to both time and money. Summary of the invention

[0004] In view of the above problems, the present invention provides a method for millimeter wave radar scene reproduction and data parameter adjustment based on Ethernet.

[0005] To solve the above technical problems, the technical solution adopted by the present invention is: a method for millimeter wave radar scene reproduction and data parameter adjustment based on Ethernet, comprising the following steps: acquiring collected data, the collected data including synchronously acquired scene data and video data; adjusting the processing parameters of the scene data to obtain multiple groups of expected data; comparing the degree of similarity between each group of the expected data and the video data and scoring them; according to the scoring results, obtaining the optimal processing parameters corresponding to the optimal scoring results; importing the optimal processing parameters and scene data into a PC end to obtain a PC end simulation result; importing the optimal processing parameters and scene data into a radar end to obtain a radar end simulation result.

[0006] As a preferred solution, the acquisition of the scene data includes: using a radar to transmit electromagnetic waves to a target point in the scene, receiving an echo signal, generating an IF signal after frequency mixing, and then obtaining the scene data through ADC sampling.

[0007] As a preferred solution, the video data is acquired through a camera device.

[0008] As a preferred solution, the processing parameters include signal processing parameters and data processing parameters. The signal processing parameters are used to process the scene data to obtain the motion data of the target point, and the data processing parameters are used to comprehensively process the point track of the target point in combination with the historical track data and the motion data to obtain the track data of the target point.

[0009] As a preferred solution, it also includes: judging whether the alarm condition is met according to the track data of the target point and preset rules.

[0010] As a preferred solution, it also includes: comparing the simulation results on the PC side with the simulation results on the radar side. If the data match, it means that the processing parameters are running normally in the radar side.

[0011] Compared with the prior art, the beneficial effects of the present invention include: by tuning the parameters of the scene data, selecting the optimal processing parameters, and combining the scene data and the optimal processing parameters, it is convenient to analyze the scene data and adjust the parameters, and verify the problems in the laboratory environment, which saves the time of testing and development and improves the development efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The disclosure of the present invention is described with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. In the accompanying drawings, the same reference numerals are used to refer to the same components. Among them:

[0013] Figure 1 A schematic diagram of a flow chart of a method for reproducing a millimeter-wave radar scene and adjusting data parameters based on Ethernet according to an embodiment of the present invention;

[0014] Figure 2 A schematic diagram of a process for parameter tuning according to an embodiment of the present invention;

[0015] Figure 3 A schematic diagram of a PC-side simulation process according to an embodiment of the present invention;

[0016] Figure 4 A schematic diagram of a radar simulation process according to an embodiment of the present invention;

[0017] Figure 5 The figure is a flow chart of PC-side simulation and radar-side simulation verification according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] It is easy to understand that according to the technical solution of the present invention, without changing the essential spirit of the present invention, a person skilled in the art can propose a variety of interchangeable structural modes and implementation modes. Therefore, the following specific implementation modes and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the whole of the present invention or as a limitation or restriction to the technical solution of the present invention.

[0019] See also Figure 1 The present invention discloses a method for reproducing millimeter wave radar scenes and adjusting data parameters based on Ethernet, comprising the following steps:

[0020] S101, acquiring collected data, where the collected data includes synchronously acquired scene data and video data.

[0021] See also Figure 2 The acquisition of the above scene data includes: sending instructions to the radar through the Ethernet interface of the PC, and then the radar enters a data storage mode, such as the DEBUG mode. It should be understood that the Ethernet interface can also be replaced by a communication interface such as UART, CAN, etc. The radar transmits electromagnetic waves to the target point in the scene, receives the echo signal, generates an IF signal after mixing processing, and then obtains the scene data through ADC sampling. The scene data includes various types of data, such as: original ADC data, configuration parameters, processed intermediate data, result data output via CAN, etc. The video data is acquired through a camera device, which is an external camera installed on the vehicle.

[0022] S102, adjusting processing parameters of the scene data to obtain multiple groups of expected data.

[0023] Among them, the above processing parameters include signal processing parameters and data processing parameters. The signal processing parameters are used to process the scene data to obtain the motion data of the target point. The data processing parameters are used to comprehensively process the point track of the target point in combination with the historical track data and the motion data to obtain the track data of the target point.

[0024] Optionally, it also includes: judging whether the alarm conditions are met based on the track data of the target point and according to preset rules.

[0025] S103, comparing the similarity between each set of expected data and the video data and scoring them.

[0026] S104: Obtain optimal processing parameters corresponding to the optimal scoring result according to the scoring result.

[0027] Steps S102 to S104 are a cyclic optimization process, that is, the processing parameters are continuously adjusted until the scoring result is within the set threshold range.

[0028] Preferably, the above-mentioned scoring result also includes weighted synthesis with reference to key scenes, and the formula of the scoring result is:

[0029] Score=λ*P, where Score is the weighted scoring result, λ is the weight of the key scene, and P is the scoring result in step S103.

[0030] For example, compared with other lanes, the adjacent lanes are given more attention, that is, the weight λ is larger.

[0031] S105, import the optimal processing parameters and scene data into the PC to obtain the PC simulation results. Figure 3 As shown, PC simulation is mainly used to use scene data to optimize parameters and algorithms to obtain the desired effect.

[0032] S106, import the optimal processing parameters and scene data into the radar end to obtain the radar end simulation results. Figure 4 As shown, radar-side simulation is mainly used to simulate the processing flow of normal radar operation to ensure that the implementation of algorithms and parameters is consistent with expectations.

[0033] See also Figure 5 As shown, the simulation results on the PC side are compared with those on the radar side. If the data match, it means that the processing parameters are running normally on the radar side.

[0034] In summary, the beneficial effects of the present invention include: by optimizing the parameters of the scene data, selecting the optimal processing parameters, and combining the scene data and the optimal processing parameters, it is convenient to analyze the scene data and adjust the parameters, and verify the problems in the laboratory environment, thereby saving the time of testing and development and improving the development efficiency.

[0035] The technical scope of the present invention is not limited to the contents in the above description. Those skilled in the art can make various deformations and modifications to the above embodiments without departing from the technical idea of ​​the present invention, and these deformations and modifications should all fall within the protection scope of the present invention.

Claims

1. A method for reproducing millimeter wave radar scenes and adjusting data parameters based on Ethernet, characterized in that: The steps include: Acquire acquisition data, the acquisition data includes synchronously acquired scene data and video data, the acquisition of the scene data includes: using a radar to transmit electromagnetic waves to a target point in the scene, receiving an echo signal, generating an IF signal after frequency mixing, and then acquiring the scene data through ADC sampling, and the video data is acquired through a camera device; Adjusting the processing parameters of the scene data to obtain multiple groups of expected data, the processing parameters include signal processing parameters and data processing parameters, the signal processing parameters are used to process the scene data to obtain the motion data of the target point, and the data processing parameters are used to comprehensively process the point track of the target point in combination with the historical track data and the motion data to obtain the track data of the target point; Comparing the similarity between each group of expected data and video data and scoring them; According to the scoring result, the optimal processing parameters corresponding to the optimal scoring result are obtained; Importing the optimal processing parameters and scene data into a PC to obtain a PC simulation result; Importing the optimal processing parameters and scene data into the radar end to obtain radar end simulation results; It also includes: judging whether the alarm condition is met according to the track data of the target point and the preset rules; It also includes: comparing the simulation results on the PC side with the simulation results on the radar side. If the data match, it means that the processing parameters are running normally on the radar side.

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