• Àüü
  • ÀüÀÚ/Àü±â
  • Åë½Å
  • ÄÄÇ»ÅÍ
´Ý±â

»çÀÌÆ®¸Ê

Loading..

Please wait....

Çмú´ëȸ ÇÁ·Î½Ãµù

Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ Çмú´ëȸ > 2015³â Ãß°è Çмú´ëȸ

2015³â Ãß°è Çмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Survey on Detection and Recognition of Road Marking
¿µ¹®Á¦¸ñ(English Title) Survey on Detection and Recognition of Road Marking
ÀúÀÚ(Author) Husan Vokhidov   Hyung Gil Hong   Toan Minh Hoang   JinKyu Kang   Kang Ryoung Park   Hyeong Oh Cho  
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 02 PP. 1408 ~ 1410 (2015. 10)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
Information about the painted road markings and other painted road objects play an important part in keeping safety of drivers. Some researchers have presented research approaches and dealt with road markings detection. In this paper, we present comprehensive survey of these techniques, and review some of them like a machine learning method, template matching method for road markings detection and classification, method of detection and classification of road markings using curve-based prototype fitting, signed edge signature method.
Å°¿öµå(Keyword) Road markings detection   Road markings recognition  
ÆÄÀÏ÷ºÎ PDF ´Ù¿î·Îµå