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CMOS Image Sensors for High Speed Applications
Sensors 2009, 9(3), 1722-1737; doi:10.3390/s90301722

CMOS Image Sensor with a Built-in Lane Detector

1,* , 2
1 Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan, ROC 2 Department of Electronic Engineering, Chang Gung University, Tao-Yuan, Taiwan, ROC 3 Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, ROC 4 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC
* Author to whom correspondence should be addressed.
Received: 16 February 2009 / Revised: 8 March 2009 / Accepted: 11 March 2009 / Published: 12 March 2009
(This article belongs to the Special Issue Image Sensors)
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This work develops a new current-mode mixed signal Complementary Metal-Oxide-Semiconductor (CMOS) imager, which can capture images and simultaneously produce vehicle lane maps. The adopted lane detection algorithm, which was modified to be compatible with hardware requirements, can achieve a high recognition rate of up to approximately 96% under various weather conditions. Instead of a Personal Computer (PC) based system or embedded platform system equipped with expensive high performance chip of Reduced Instruction Set Computer (RISC) or Digital Signal Processor (DSP), the proposed imager, without extra Analog to Digital Converter (ADC) circuits to transform signals, is a compact, lower cost key-component chip. It is also an innovative component device that can be integrated into intelligent automotive lane departure systems. The chip size is 2,191.4 x 2,389.8 mm, and the package uses 40 pin Dual-In-Package (DIP). The pixel cell size is 18.45 x 21.8 mm and the core size of photodiode is 12.45 x 9.6 mm; the resulting fill factor is 29.7%.
Keywords: Image sensor; CMOS; photodiode; current-mode; lane detection; peak-finding algorithm; Gaussian filter; intelligent transportation systems Image sensor; CMOS; photodiode; current-mode; lane detection; peak-finding algorithm; Gaussian filter; intelligent transportation systems
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hsiao, P.-Y.; Cheng, H.-C.; Huang, S.-S.; Fu, L.-C. CMOS Image Sensor with a Built-in Lane Detector. Sensors 2009, 9, 1722-1737.

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