Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition
Joint Authors
Jia, Huiqun
Wei, Zhonghui
He, Xin
Lv, You
He, Dinglong
Li, Muyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The detection and recognition of arrow markings is a basic task of autonomous driving.
To achieve all-day detection and recognition of arrow markings in complex environment, we propose a hybrid model by exploiting the advantages of biologically visual perceptual model and discriminative model.
Firstly, the arrow markings are extracted from the complex background in the region of interest (ROI) by the biologically visual perceptual model using the frequency-tuned (FT) algorithm.
Then candidates for road markings are detected as maximally stable extremal regions (MSER).
In recognition stage, biologically visual perceptual model calculates the sparse solution of arrow markings using sparse learning theory.
Finally, discriminative model uses the Adaptive Boosting (AdaBoost) classifier trained by sparse solution to classify arrow markings.
Experimental results show that the hybrid model achieves detection and recognition of arrow markings in complex road conditions with the precision, recall, and F-measure being 0.966, 0.88, and 0.92, respectively.
The hybrid model is robust and has some advantages compared with other state-of-the-art methods.
The hybrid model proposed in this paper has important theoretical significance and practical value for all-day detection and recognition in complex environment.
American Psychological Association (APA)
Jia, Huiqun& Wei, Zhonghui& He, Xin& Lv, You& He, Dinglong& Li, Muyu. 2018. Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208192
Modern Language Association (MLA)
Jia, Huiqun…[et al.]. Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208192
American Medical Association (AMA)
Jia, Huiqun& Wei, Zhonghui& He, Xin& Lv, You& He, Dinglong& Li, Muyu. Biologically Visual Perceptual Model and Discriminative Model for Road Markings Detection and Recognition. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208192
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208192