Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Lane detection is one of fundamental but critical problems for lane following system of Intelligent Vehicles. Hover, a robust and cost effective approach is still a deserve exploit issue. A novel and effective approach using a five steps scheme is presents. First, Canny detector is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process is conducted to normalize the potential candidates of road line or boundary; Third, a searching procession is utilized for reinforce potential road lines while degraded those impossible ones; Forth, a linking condition is investigated to further enhance the confidence of the potential lane lines; Finally, a K-means cluster based algorithm is employed to localize the lane lines, in this step, false edges will be rejection and only optimal lines will be accepted. Experimental results show that the proposed approach can achieve robust and effective localize the lane line in various bad road scenes, and has a better generalize capability with road types.
['Huan Shen', 'Shun Ming Li', 'Fang Chao Bo', 'Xiaodong Miao', 'Fang Pei Li', 'Wenyu Lu']
I am writing a research paper on a idea Intelligent Vehicles Oriented Lane Detection Approach under Bad Road Scene
[{"from": "human", "value": "I am writing a research paper on a idea Intelligent Vehicles Oriented Lane Detection Approach under Bad Road Scene"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Lane detection is one of fundamental but critical problems for lane following system of Intelligent Vehicles. Hover, a robust and cost effective approach is still a deserve exploit issue. A novel and effective approach using a five steps scheme is presents. First, Canny detector is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process is conducted to normalize the potential candidates of road line or boundary; Third, a searching procession is utilized for reinforce potential road lines while degraded those impossible ones; Forth, a linking condition is investigated to further enhance the confidence of the potential lane lines; Finally, a K-means cluster based algorithm is employed to localize the lane lines, in this step, false edges will be rejection and only optimal lines will be accepted. Experimental results show that the proposed approach can achieve robust and effective localize the lane line in various bad road scenes, and has a better generalize capability with road types."}]