Title :
A novel lane changing algorithm with efficient method of lane detection
Author :
Gang Wang ; Yimin Zhou ; Guoqing Xu ; Xian Liu ; Yunhui Liu
Author_Institution :
Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
This paper presents an efficient method of lane detection and apply the detection results in vehicle auto lane departure. The inverse perspective mapping image is taken for line detection. During image preprocessing, PPHT method and a third degree Bezier spline are applied for line fitting step. Meanwhile, linear clustering is taken to reduce the excessive lines. Not only the lines in the current driving lane can be detected, but also lines of neighboring lanes when vehicle is changing lanes can be detected. Besides, an algorithm of trajectory planning is introduced as a prerequisite for the implementation of lane changing. Fields results have shown the effectiveness of the proposed system.
Keywords :
object detection; pattern clustering; splines (mathematics); PPHT method; image preprocessing; inverse perspective mapping image; lane detection; line detection; line fitting step; novel lane changing algorithm; third degree Bezier spline; trajectory planning; vehicle auto lane departure; Cameras; Fitting; Histograms; Roads; Splines (mathematics); Trajectory; Vehicles; Bezier spline; PPHT; inverse perspective mapping; lane detection; trajectory planning;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ROBIO.2013.6739840