TY - GEN
T1 - Lane detection system based on software and hardware codesign
AU - Jeng, Ming Jer
AU - Guo, Chung Yen
AU - Shiau, Bo Cheng
AU - Chang, Liann Be
AU - Hsiao, Pei Yung
PY - 2009
Y1 - 2009
N2 - In this paper, we present a lane detection system (LDS) based on software and hardware codesign. In combining both hardware and software designs, it can achieve a real time lane detection within a processing time of less than 50ms. The hardware implemented by FPGA chip captures the lane image from CCD camera within a time less 10ms, which is faster than by software captures. In software design, the global edge detection is able to transfer the gray level image to binary pattern and show the edge of the object. Then, using this binary pattern find out the traffic lane location with following algorithm like the peak-finding and grouping, edge connecting, lane segment combination, lane boundaries selection. The lane departure warning algorithm detects the vehicle whether in traffic lane and judges whether sends out the warning. Experimental results demonstrate a quite good accuracy in lane detection whether at day or night condition.
AB - In this paper, we present a lane detection system (LDS) based on software and hardware codesign. In combining both hardware and software designs, it can achieve a real time lane detection within a processing time of less than 50ms. The hardware implemented by FPGA chip captures the lane image from CCD camera within a time less 10ms, which is faster than by software captures. In software design, the global edge detection is able to transfer the gray level image to binary pattern and show the edge of the object. Then, using this binary pattern find out the traffic lane location with following algorithm like the peak-finding and grouping, edge connecting, lane segment combination, lane boundaries selection. The lane departure warning algorithm detects the vehicle whether in traffic lane and judges whether sends out the warning. Experimental results demonstrate a quite good accuracy in lane detection whether at day or night condition.
KW - Global edge detector
KW - Lane departure warning algorithm
KW - Lane detection system
UR - http://www.scopus.com/inward/record.url?scp=66149175024&partnerID=8YFLogxK
U2 - 10.1109/ICARA.2000.4803972
DO - 10.1109/ICARA.2000.4803972
M3 - 会议稿件
AN - SCOPUS:66149175024
SN - 9781424427130
T3 - ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
SP - 319
EP - 323
BT - ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
T2 - 4th International Conference on Autonomous Robots and Agents, ICARA 2009
Y2 - 10 February 2009 through 12 February 2009
ER -