| Popis: |
The efficacy of any intelligent transportation systems depends on efficiency of the lane detection system. This paper addressed the lane detection problem during the daytime in the NH5 of Odisha, India. In NH5, the contrast between road and lane is very low because of dust and mud layers from the side of the road and at many places, the lane markings are not visible due to natural or unnatural processes of erosion. Therefore, most of the proposed lane detection algorithms that are for the foreign roads failed to correctly detect the lanes. In this paper, we proposed a lane detection model and a new thresholding approach for correct detection of lanes in the NH5 between Khandagiri and Khurdha, Odisha, India. |
