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Research Article Open Access
The objective of this project is to develop a low cost vision-based driver assistance system over FPGA, to provide a solution of detection and avoidance of potholes in the path of a vehicle on road. We propose a conceptual framework where a centralized system detects and assists the driver to avoid potholes on roads. The system also identifies the potholes which are to be repaired immediately. The project will use an FPGA model to deploy image processing algorithms efficiently so that the output can be achieved in real time.Pothole avoidance may be considered similar to other obstacle avoidance except that the potholes are depressions rather than extrusions from a surface. A vision approach was used since the potholes were different visually from the background surface. The basic idea of this system is to detect the pothole at a distance from which driver is driving the vehicle, to alert the driver if pothole is arriving in the way to reduce the speed of the vehicle or take another path as well as to alert the local road development authorities for immediate repairing.The detailed description of the system based on image processing developed to process and analyze the dataset captured using the camera that gives high efficiency and accuracy compared to the conventional methods of pothole detection.
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Author(s): Sumit Pawade, B.P. Fuladi, L.A. Hundikar