Real-Time Road Lane Detection with Commodity Hardware

被引：0
|
作者：
Sakjiraphong, Somchok [1 ,2 ]
Pinho, Andre [3 ]
Dailey, Matthew N. [1 ,2 ]
Ekpanyapong, Mongkol
Tavares, Adriano [3 ]
机构：
[1] Asian Inst Technol, Comp Sci & Informat Management, Klongluang, Pathumthani, Thailand
[2] Asian Inst Technol, Microelect & Embedded Syst, Klongluang, Pathumthani, Thailand
[3] Univ Minho, Dept Ind Elect, P-4719 Braga, Portugal
来源：
2014 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON) | 2014年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present a real-time algorithm for lane boundary estimation based on matched filters and a RANSAC-based method for boundary marking identification. The algorithm is designed to run with minimal assumptions about the environment using a single monocular camera sensor and low-cost commodity compute hardware. With GPLI acceleration and TRH, the algorithm runs in less than 25 ms on average on images of size 640 x 480 comparing with 0.12 seconds running on CPU baseline.
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页数：4
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