Test platform of driver active safety early warning system

Abstract

The invention relates to a test platform of a driver active safety early warning system. The test platform comprises a data acquisition unit, a test working condition database, an offline analysis unit and an analysis report unit, wherein the offline analysis unit comprises an offline analysis playback sub-unit and an offline analysis judging sub-unit; the data acquisition unit acquires road environment video information and vehicle state information at different moments in the running process of an experimental vehicle in real time, and sends all of the information and stores in the test working condition database; the offline analysis playback sub-unit extracts a sample and sends the sample to a system to be tested; the system to be tested generates an early warning system in a simulation environment; the offline analysis playback sub-unit sends the early warning signal and the sample corresponding to the early warning signal to the offline analysis judging sub-unit; the offline analysis judging sub-unit analyzes the road environment video information, the vehicle state information and the early warning signal and judges to generate a judgment result, and sends the judgment result to the analysis report unit; and the analysis report unit generates lines and a document. The test platform provided by the invention can be widely applied to the test of various automobile alarm systems.

Description

technical field [0001] The invention relates to a test platform for an automobile early warning system, in particular to a test platform for a driver active safety early warning system based on visual images. Background technique [0002] The two very important components of the driver's active safety warning system are the anti-rear collision alarm and the lane departure alarm. The real-time monitoring and early warning technology of vehicle driving safety status integrated with these two alarm functions has gradually become the standard product of some vehicles. Since driver active safety products are related to traffic safety and thus personal safety, it is particularly important to test whether the early warning function is complete and the performance is reliable. At present, no unified understanding has been formed on the testing and evaluation of anti-rear collision alarm and lane departure alarm performance. Due to the high demand for simulation, the complexity of pl...

AI Technical Summary

Problems solved by technology

At present, no unified understanding has been formed on the testing and evaluation of anti-rear collision alarm and lane departure alarm performance. Due to the high demand for simulation, the complexity of platform design, and the high versatility requirements, most of the test equipment for driver active safety warning system products tends to It is used for real vehicle testing on the road, but this method consumes a lot of manpower and financial resources, and there is no unified plan and standard for the testing method of this type of system, so it is not easy to test the potential capabilities and various real parameters of the system

[0003] The device for testing the early warning system in the prior art uses image sensors fixed on both sides above the vehicle to collect road images, and at the same time collects the vehicle speed of the vehicle CAN unit and the information of the alarm time to calculate the distance between the vehicle and the lane line and the vehicle's trajectory deviation from the lane in real time. However, the accuracy judgment of the above-mentioned device for the lane departure warning only takes into account the relative distance between the lane line and the wheels and the off-line speed when the vehicle’s trajectory deviates from the lane line, and cannot comprehensively consider the road from the perspective of the driver. In order to judge the accuracy of the lane departure alarm, and the above-mentioned device cannot fully guarantee the real state between the detected actual road lane line and the own vehicle.

[0004] In the prior art, there is also a manual comparison method for testing the anti-rear-end collision alarm system, that is, to record the image data of the driving environment in real time, and compare the time corresponding to each anti-rear-end collision alarm time during the actual driving process of a single vehicle with the alarm system installed by the tester. The image data of the driving environment is used to obtain the accuracy of each alarm. This method can truly reflect the alarm reliability of the anti-rear collision alarm system. However, this test method is not integrated on the corresponding test platform, because the test samples cannot be used universally. , the testers cannot standardize and systematically apply a sample of a single vehicle, and the randomness of the road conditions leads to the randomness of the alarm. Therefore, this test method also lacks versatility and repeatability for the performance test of similar products. A large number of road tests need to be carried out again, which makes the workload of the testers extremely huge

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