基于路面图像分类识别的路噪主动控制方法研究

Research on Active Control Method of Road Noise based on Pavement Image Classification and Recognition

传统的吸声、隔声以及减震等降噪方法应用会导致车辆的重量也随之增加,且对低频率噪声降噪的效果并不理想,噪声主动控制技术能够在长波长的低频降噪中发挥不错的作用。对此,噪声主动控制技术应用比较广泛。本文研究基于路面图像分类识别的路噪主动控制方法应用,通过多种传感器应用,对车辆前方路面进行感知,识别前方路面,识别路面信息后输入到路噪主动控制算法中,为降低噪声,促进车辆智能化水平提升提供一些思路和参考。

The application of traditional noise reduction methods such as sound absorption,sound insulation and shock absorption will lead to the increase of vehicle weight,and the effect of low-frequency noise reduction is not ideal,and the noise active control technology can play a good role in low-frequency noise reduction at long wavelengths.In this regard,noise active control technology is widely used.In this paper,the application of the road noise active control method based on road image classification and recognition is studied,and the road surface in front of the vehicle is perceived through a variety of sensor applications,the road surface in front of the vehicle is recognized,and the road surface information is input into the road noise active control algorithm,which provides some ideas and references for reducing noise and promoting the improvement of vehicle intelligence.