Lane Keeping Assist System
K. Manoj Senthil1, Vinod Ramachandra Dinnimani2, R. Shobiga Sherline3
1Mr. Manoj Senthil*, Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai.
2Mr. Vinod Ramachandra Dinnamani, Robert Bosch Engineering and Business Solutions Ltd.
3Miss. Shobiga Sherline Ravindran, Technology and Science, Embedded System in Kongu Engineering College, Perundurai.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 28, 2020. | Manuscript published on February 10, 2020. | PP: 1752-1755 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1663029420/2020©BEIESP | DOI: 10.35940/ijitee.D1663.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In urban areas, accident rate is increased due to the loss of concentration of the driver. To overcome this problem autonomous based driving vehicle is introduced and since autonomous vehicles needs to find the path to be travelled over the lane. Grid based estimation is introduced which will be helpful to find the correct position of the lane and if it deviates from the correct position it automatically comes to the correct path. Preprocessing method is used to find the correct path of the lane to avoid the false region over the lane images. This system will helpful to find the correct position of the vehicle over the lane. It also helpful to find the distance from the camera to the point of the image.
Keywords: Autonomous Vehicle, Edge Detection, Grid Estimation, Lane Detection
Scope of the Article: Autonomous Robots