Published Paper Details:

For autonomous vehicle driving technology to move forward from the testing phase to actual self-driving car, safety measures and error minimization plays a key role. This paper explains the techniques to outline the road road-lanes through the road-lane detection method. The width of the road road-lanes can be explicitly calculated to define the relative position of the vehicle in the defined road-lane. Inbuilt camera sensor produces lots of information from the surrounding which are processed through a machine vision system. The advanced system predicts trajectories collected during human handling of the vehicle and employs these to produce automatic tags for training a semantic-based pathway prediction model. Apart from, a camera actual inclination gradient and the road-road-lane breadth would be obtained through active normalization. This approach is used to find the road-lane and width of the road from both sides effectively when there is a hindrance on one side. The drivable route knowledge is necessary particularly in unorganized situations and is crucial for an intelligent transport system to get reliable driving choices