Road Condition Classification for Driver Assistance System

Authors

  • Dharitri Tanaya Sahoo
  • Mohan Debarchan Mohanty
  • Mihir Narayan Mohanty

Abstract

Advance driver-assistance systems(ADAS) area system that helps the driver in the process of driving. These systems are designed to increase vehicle safety more generally road safety. Prior data about road surfaces can enhance the performance of automotive systems when a automobile is about to touch. Our paper represents an efficient techniqueto detect different surfaces of road by streaming video from a camera mounted on a vehicle's hood and compare the results with the existing process. The road surfaces taken for detection and analysis are cemented,grassy, asphalt,rough asphalt (asphalt road which is deteriorating), sandy and rough road. In this paper a classifier (Naive Bayes classifier) is used to differentiate between smooth road and rough road with the help of two new proposed features i.e. temporal distance and temporal Spread. To classify different types of roads from smooth road and rough road intensity histogram and canny edge detection is used.

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Published

2020-01-18

Issue

Section

Articles