DocumentCode :
3662519
Title :
Crosswalk detection based on laser scanning from moving vehicle
Author :
Danilo Cáceres Hernández;Alexander Filonenko;Dongwook Seo;Kang-Hyun Jo
Author_Institution :
Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, Ulsan 680-749, Korea
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1515
Lastpage :
1519
Abstract :
The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction methods for crosswalk marking through Laser Measurement System (LMS). The crosswalk detection is achieved in three stages as follows: Lane Surface Identification (LSI), Lane Marking Recognition (LMR), and finally Crosswalk Marking Detection (CMD). Preliminary results were performed and tested on a group of consecutive frames during the daylight condition to prove its effectiveness.
Keywords :
"Roads","Surface treatment","Vehicles","Surface emitting lasers","Laser beams","Feature extraction","Least squares approximations"
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
ISSN :
1935-4576
Electronic_ISBN :
2378-363X
Type :
conf
DOI :
10.1109/INDIN.2015.7281958
Filename :
7281958
Link To Document :
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