DocumentCode :
252310
Title :
Inverse Perspective Mapping based road curvature estimation
Author :
Dongwook Seo ; Kanghyun Jo
Author_Institution :
Dept. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
480
Lastpage :
483
Abstract :
This paper proposes a solution for road curvature estimation. This information is relevant for the task of autonomous navigation. The proposed method is based on the Inverse Perspective Mapping (IPM) which gets rid of perspective distortion. From the IPM with multi scale lane markers appear as the parallel lines. Then, the lane markers are detected by using color segmentation, Hough transform and RANSAC. The detected lines are used for calculating the road curvature which is used to estimate a vehicle trajectory for autonomous vehicle or driver assistance system. In the current experiments, the correct detection rate reached 88.45%.
Keywords :
Hough transforms; driver information systems; image colour analysis; image segmentation; Hough transform; IPM; RANSAC; autonomous navigation; autonomous vehicle; color segmentation; driver assistance system; inverse perspective mapping; road curvature estimation; Estimation; Image color analysis; Image segmentation; Roads; Splines (mathematics); Transforms; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028086
Filename :
7028086
Link To Document :
بازگشت