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Cited 10 time in webofscience Cited 13 time in scopus
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On-CMOS Image Sensor Processing for Lane Detectionopen access

Authors
Lee, SoyeonJeong, BohyeokPark, KeunyeolSong, MinkyuKim, Soo Youn
Issue Date
Jun-2021
Publisher
MDPI
Keywords
CMOS image sensor; computer vision; edge detection; low power consumption; single-slope ADC
Citation
SENSORS, v.21, no.11
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
21
Number
11
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/4936
DOI
10.3390/s21113713
ISSN
1424-8220
1424-3210
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) x 120 (V) and a frame rate of 113, and it occupies an area of 5900 mu m x 5240 mu m. 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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