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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8198136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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