Cited 0 time in webofscience Cited 4 time in scopus

Various lane marking detection and classification for vision-based navigation system

Title
Various lane marking detection and classification for vision-based navigation system
Authors
DIng, DajunYoo, JongsuJung, JekyoJin, SunghoKwon, Soon
DGIST Authors
DIng, Dajun; Yoo, Jongsu; Jung, Jekyo; Jin, SunghoKwon, Soon
Issue Date
2015
Citation
2015 IEEE International Conference on Consumer Electronics, ICCE 2015, 491-492
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
A vision-based car navigation system (CNS) gives drivers more precise and realistic traffic data than a traditional 2D-CNS. As part of the vision-based CNS, the ability to detect lane markings can provide significant warnings which increase traffic safety and convenience. Meanwhile, accurate lane classification results can indicate the current/approaching road conditions in this system. This paper concentrates on two kernels: lane marking detection and lane type identification. The lane detection part uses IPM and histogram sampling and the lane marking type classification step utilizes spatial and frequency sampling for different types of lane markings. © 2015 IEEE.
URI
http://hdl.handle.net/20.500.11750/3732
DOI
10.1109/ICCE.2015.7066495
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers
Division of IoT∙Robotics Convergence Research2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE