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On-CMOS Image Sensor Processing for Lane Detection

This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detec...

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Detalles Bibliográficos
Autores principales: Lee, Soyeon, Jeong, Bohyeok, Park, Keunyeol, Song, Minkyu, Kim, Soo Youn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198136/
https://www.ncbi.nlm.nih.gov/pubmed/34073597
http://dx.doi.org/10.3390/s21113713
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author Lee, Soyeon
Jeong, Bohyeok
Park, Keunyeol
Song, Minkyu
Kim, Soo Youn
author_facet Lee, Soyeon
Jeong, Bohyeok
Park, Keunyeol
Song, Minkyu
Kim, Soo Youn
author_sort Lee, Soyeon
collection PubMed
description This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detection mask can detect the edges of slanting lanes to improve accuracy. A prototype of the proposed CIS was fabricated using a 110 nm CIS process. It has an image resolution of 160 (H) × 120 (V) and a frame rate of 113, and it occupies an area of 5900 μm × 5240 μm. A comparison of its lane detection accuracy with that of existing edge detection algorithms shows that it achieves an acceptable accuracy. Moreover, the total power consumption of the proposed CIS is 9.7 mW at pixel, analog, and digital supply voltages of 3.3, 3.3, and 1.5 V, respectively.
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spelling pubmed-81981362021-06-14 On-CMOS Image Sensor Processing for Lane Detection Lee, Soyeon Jeong, Bohyeok Park, Keunyeol Song, Minkyu Kim, Soo Youn Sensors (Basel) Communication This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detection mask can detect the edges of slanting lanes to improve accuracy. A prototype of the proposed CIS was fabricated using a 110 nm CIS process. It has an image resolution of 160 (H) × 120 (V) and a frame rate of 113, and it occupies an area of 5900 μm × 5240 μm. A comparison of its lane detection accuracy with that of existing edge detection algorithms shows that it achieves an acceptable accuracy. Moreover, the total power consumption of the proposed CIS is 9.7 mW at pixel, analog, and digital supply voltages of 3.3, 3.3, and 1.5 V, respectively. MDPI 2021-05-26 /pmc/articles/PMC8198136/ /pubmed/34073597 http://dx.doi.org/10.3390/s21113713 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Lee, Soyeon
Jeong, Bohyeok
Park, Keunyeol
Song, Minkyu
Kim, Soo Youn
On-CMOS Image Sensor Processing for Lane Detection
title On-CMOS Image Sensor Processing for Lane Detection
title_full On-CMOS Image Sensor Processing for Lane Detection
title_fullStr On-CMOS Image Sensor Processing for Lane Detection
title_full_unstemmed On-CMOS Image Sensor Processing for Lane Detection
title_short On-CMOS Image Sensor Processing for Lane Detection
title_sort on-cmos image sensor processing for lane detection
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198136/
https://www.ncbi.nlm.nih.gov/pubmed/34073597
http://dx.doi.org/10.3390/s21113713
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AT kimsooyoun oncmosimagesensorprocessingforlanedetection