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On-CMOS Image Sensor Processing for Lane Detection

Authors :
Soyeon Lee
Bohyeok Jeong
Keunyeol Park
Minkyu Song
Soo Youn Kim
Source :
Sensors, Vol 21, Iss 11, p 3713 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

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.

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.b1a87b1418954b53891cea3b7bbe3c23
Document Type :
article
Full Text :
https://doi.org/10.3390/s21113713