Device and method for evaluating driving road conditions

Abstract

According to a device and method for evaluating the driving road condition, an accelerator controller is adopted to control the accelerator opening degree, and a vibration sensor is used for collecting vehicle vibration signals; under a certain accelerator opening degree, vehicle vibration signals of different road sections belonging to a certain grade of road conditions are collected, a vibrationsignal characteristic value of each road section is extracted based on the collected vehicle vibration signals, the vibration signals of multiple road sections are collected and summarized, and a vibration signal characteristic value set of the corresponding grade of road conditions is formed; and finally, the current driving road condition level of the vehicle is judged according to the set to which the current vehicle vibration signal characteristic value belongs. The method can better adapt to unfamiliar road sections, so that the vehicle has better environmental adaptability, the vibration signals in the vehicle are taken as direct data, the influence of the shock absorption performance of the vehicle and the vehicle body structure on the current driving road condition grade evaluation is eliminated, the method has wider adaptability, and the evaluation result is more accurate and unified.

Description

technical field [0001] The invention relates to the field of intelligent driving, in particular to a device and method for evaluating driving road conditions. Background technique [0002] It is one of the core issues of the intelligent driving control strategy to make the vehicle execute different control strategies according to the changes of the road conditions. It is mainly manifested in adjusting the driving speed or driving direction according to the road conditions. Higher driving strategy, and control the vehicle to actively slow down when the road is bumpy. Therefore, the primary task of optimizing the intelligent driving control strategy is to be able to accurately perceive the current road surface information. At this stage, unmanned driving technology is still immature, and unmanned vehicles are still in the optimization and debugging stage, and vehicle debugging is limited to specific road sections. Therefore, At present, the "pre-calibration" method is general...

AI Technical Summary

Problems solved by technology

[0003] In the above method, there are certain limitations:

[0004] 1. There is no unified quantitative index, and different experts only rely on subjective feelings to judge the road condition level, which lacks the consistency of the evaluation results. Even when the same expert judges different road conditions, it is easy to have judgment differences;

[0005] 2. The "pre-calibration" method is only applicable to known road sections. For some unfamiliar road sections, if no pre-calibration is performed, the vehicle will not be able to retrieve road condition level information and cannot implement corresponding control strategies

[0006] 3. The shock absorption performance of different vehicles is different. Under the same road conditions, if the same control strategy is adopted to execute the same driving speed, it will cause different riding experience

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