{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:24:24Z","timestamp":1780633464235,"version":"3.54.1"},"reference-count":15,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T00:00:00Z","timestamp":1621987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry and Energy","doi-asserted-by":"publisher","award":["10080403"],"award-info":[{"award-number":["10080403"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"NRF","doi-asserted-by":"publisher","award":["2020R1A2C1009583"],"award-info":[{"award-number":["2020R1A2C1009583"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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) \u00d7 120 (V) and a frame rate of 113, and it occupies an area of 5900 \u03bcm \u00d7 5240 \u03bcm. 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.<\/jats:p>","DOI":"10.3390\/s21113713","type":"journal-article","created":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T21:56:44Z","timestamp":1622066204000},"page":"3713","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["On-CMOS Image Sensor Processing for Lane Detection"],"prefix":"10.3390","volume":"21","author":[{"given":"Soyeon","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bohyeok","family":"Jeong","sequence":"additional","affiliation":[{"name":"Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keunyeol","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minkyu","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3463-5760","authenticated-orcid":false,"given":"Soo Youn","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Vinuchandran, A.V., and Shanmughasundaram, R. (2017, January 6\u20137). A real-time lane departure warning and vehicle detection system using monoscopic camera. Proceedings of the 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, India.","DOI":"10.1109\/ICICICT1.2017.8342803"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lan, M., Rofouei, M., Soatto, S., and Sarrafzadeh, M. (2009, January 4\u20137). SmartLDWS: A robust and scalable lane departure warning system for the smartphones. Proceedings of the 2009 12th International IEEE Conference on Intelligent Transportation Systems, St. Louis, MI, USA.","DOI":"10.1109\/ITSC.2009.5309685"},{"key":"ref_3","unstructured":"Shu, Y., and Tan, Z. (2004, January 15\u201319). Vision based lane detection in autonomous vehicle. Proceedings of the Fifth World Congress on Intelligent Control and Automation (IEEE Cat. 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