%0 Journal Article %1 IJACSA.2011.020512 %A L N P Boggavarapu R S Vaddi, H D Vankayalapati J K Munagala %D 2011 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Color Edge HSV; components. connected orientation; segmentation; %N 5 %T A robust multi color lane marking detection approach for Indian scenario %U http://ijacsa.thesai.org/ %V 2 %X Lane detection is an essential component of Advanced Driver Assistance System. The cognition on the roads is increasing day by day due to increase in the four wheelers on the road. The cognition coupled with ignorance towards road rules is contributing to road accidents. The lane marking violence is one of the major causes for accidents on highways in India. In this work we have designed and implemented an automatic lane marking violence detection algorithm in real time. The HSV color-segmentation based approach is verified for both white lanes and yellow lanes in Indian context. Various comparative experimental results show that the proposed approach is very effective in the lane detection and can be implemented in real-time.

@article{IJACSA.2011.020512, abstract = {Lane detection is an essential component of Advanced Driver Assistance System. The cognition on the roads is increasing day by day due to increase in the four wheelers on the road. The cognition coupled with ignorance towards road rules is contributing to road accidents. The lane marking violence is one of the major causes for accidents on highways in India. In this work we have designed and implemented an automatic lane marking violence detection algorithm in real time. The HSV color-segmentation based approach is verified for both white lanes and yellow lanes in Indian context. Various comparative experimental results show that the proposed approach is very effective in the lane detection and can be implemented in real-time.}, added-at = {2014-02-21T08:00:08.000+0100}, author = {{L N P Boggavarapu R S Vaddi}, H D Vankayalapati J K Munagala}, biburl = {https://www.bibsonomy.org/bibtex/203d659f04f6d38e3d70a96659a550555/thesaiorg}, interhash = {2fb123a2f1754ab471a78dc1e724eb1c}, intrahash = {03d659f04f6d38e3d70a96659a550555}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Color Edge HSV; components. connected orientation; segmentation;}, number = 5, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{A robust multi color lane marking detection approach for Indian scenario}}, url = {http://ijacsa.thesai.org/}, volume = 2, year = 2011 }