NDLI: Detection of potholes in autonomous vehicle

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Detection of potholes in autonomous vehicle

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Detection of potholes in autonomous vehicle

Content Provider	IET Digital Library
Author	Murthy, Sachin Bharadwaj Sundra Varaprasad, Golla
Abstract	Pothole avoidance may be considered similar to other obstacle avoidance, except that the potholes are depressions rather than extrusions from a surface. This study discusses a solution for detection of potholes in the path of an autonomous vehicle operating in an unstructured environment. Here, a vision approach is used since the simulated potholes are significantly different from the background surface. Furthermore, using this approach, pothole can only be detected in case of uniform lighting conditions. The solution to the problem is developed in a systematic manner. Initially, a specific camera and frame grabber are chosen, then camera is mounted on top of the autonomous vehicle and the images will be acquired. Then, a software solution is designed using MATLAB. The method is tested under real-time conditions and results demonstrate its reasonable efficiency.
Starting Page	543
Ending Page	549
Page Count	7
ISSN	1751956X
Volume Number	8
e-ISSN	17519578
Issue Number	Issue 6, Sep (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2013.0138
Journal	IET Intelligent Transport Systems
Publisher Date	2014-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autonomous Vehicle Collision Avoidance Computer Vision And Image Processing Technique MATLAB Mobile Robots Object Detection Obstacle Avoidance Optical, Image And Video Signal Processing Pothole Avoidance Robot Vision Software Solution Spatial Variables Control Uniform Lighting Condition Vehicle Vision Approach
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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