DocumentCode
1944575
Title
Interacting multiple model road curvature estimation
Author
Shen, Truman ; Ibrahim, Faroog
Author_Institution
Takata Holdings Inc., Japan
fYear
2012
fDate
16-19 Sept. 2012
Firstpage
710
Lastpage
715
Abstract
Accurate road curvature estimation is essential to many drive assistance systems and active safety systems, such as curve speed warning, lane departure warning, and lane keeping assistance. To improve the overall performance of road curvature estimation and path prediction, we proposed an interacting multiple model (structure) approach in curvature filtering, so that the curvature estimates for straight road and pure arc can be more accurate while the transitional curvature change between straight and constant radius curve can still be accounted for.
Keywords
computer vision; driver information systems; road safety; active safety systems; curvature filtering; curve speed warning; drive assistance systems; interacting multiple model road curvature estimation; lane departure warning; lane keeping assistance; path prediction; radius curve; transitional curvature; Accuracy; Data models; Estimation; Filtering; Mathematical model; Noise; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
2153-0009
Print_ISBN
978-1-4673-3064-0
Electronic_ISBN
2153-0009
Type
conf
DOI
10.1109/ITSC.2012.6338884
Filename
6338884
Link To Document