Improving Lane Detection Performance for Autonomous Vehicle Integrating Camera with Dual Light Sensors

Electronics

Manbok Park¹  Yunhee Lee²  Min-ki Park³ 

[1] Department of Electronic Engineering, College of Convergence Technology, Korea National University of Transportation, Chungju-si 27469, Korea;Litbig, Seongnam-si 13487, Korea;Mando, Seongnam-si 13487, Korea;

关键词: advanced driving assistance system (ADAS);    front camera module;    lane support system;    lane departure warning system;    lane keeping assistance system;    dual light sensor;   

DOI  :  10.3390/electronics11091474

来源: DOAJ

【 摘 要 】

Automotive companies have studied the development of lane support systems in order to secure the Euro New Car Assessment Program (NCAP)’s high score. A front camera module is applied with safety assistance systems in an intelligent vehicle. However, the front camera module has limitations in terms of backlight conditions, entering or exiting tunnels, and night driving because of lower image quality. In this paper, we propose an integrated camera with dual light sensor for improving lane detection performance under the worst conditions. We include a new algorithm to enhance image data quality and improve edge detection and lane tracking using illumination information. We evaluate the tests under various conditions on a real road. These tests are performed on 728 km of road (under various external situations and lane types) for false alarm rates. The experimental results show that the system is promising in terms of reliability, enhancement, and improvements.

【 授权许可】

Unknown