DocumentCode
3296579
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
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
2458
Lastpage
2463
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ROBIO.2013.6739840
Filename
6739840
Link To Document