Real Time Speed Bump Detection Using Gaussian Filtering and Connected Component Approach

作者: W. Devapriya , C. Nelson Kennedy Babu , T. Srihari

DOI: 10.4236/CS.2016.79188

关键词:

摘要: An Intelligent Transportation System (ITS) is a new system developed for the betterment of user in traffic and transport management domain area smart safe driving. ITS subsystems are Emergency vehicle notification systems, Automatic road enforcement, Collision avoidance parking, Map database management, etc. Advance Driver Assists (ADAS) belongs to which provides alert or warning information during The proposed method uses Gaussian filtering Median remove noise image. Subsequently image subtraction achieved by subtracting filtered from resultant converted binary regions analyzed using connected component approach. prior work on speed bump detection sensors failed detect bumps that constructed with small height rate affected due erroneous identification. And smartphone accelerometer methodologies not perfectly suitable real time scenario GPS error, network overload, real-time delay, accuracy battery running out. goes very well roads proper painting irrespective their dimension.

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