Description
The development of automation and electrification, autonomous robotics and vehicles has a wide range of use in the space science and self-driving cars. An important part in the autonomous vehicles is navigation system. In the past decades using vision based systems guidance system was become more popular.
By taking the tire and road interaction from the vehicles automatically the terrain has to be classified these type of technique was using in the rovers and path finder now it came to the automobiles.In this project a deep learning technique is used to detect the curved path in autonomous vehicles.
In this paper a customized lane detection algorithm was implemented to detect the curvature of the lane. A ground truth labeling?tool box for deep learning is used to detect the curved path in autonomous vehicle. By mapping point to point in each frame 80-90% computing efficiency and accuracy is achieved in detecting path.
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