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基于 CMOS 图像传感器的车道检测处理。

On-CMOS Image Sensor Processing for Lane Detection.

机构信息

Department of Semiconductor Science, Dongguk University, Seoul 04620, Korea.

出版信息

Sensors (Basel). 2021 May 26;21(11):3713. doi: 10.3390/s21113713.

DOI:10.3390/s21113713
PMID:34073597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8198136/
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.

摘要

本文提出了一种用于汽车应用的具有内置车道检测计算电路的 CMOS 图像传感器 (CIS)。我们提出了一种基于 CIS 的处理方法,在传统 CIS 结构的读出电路中使用边缘检测掩模进行高速车道检测。此外,边缘检测掩模可以检测倾斜车道的边缘,以提高准确性。所提出的 CIS 的原型是使用 110nm CIS 工艺制造的。它具有 160(H)×120(V)的图像分辨率和 113 的帧率,占用面积为 5900μm×5240μm。将其车道检测精度与现有边缘检测算法进行比较,结果表明它具有可接受的精度。此外,在像素、模拟和数字电源电压分别为 3.3V、3.3V 和 1.5V 的情况下,所提出的 CIS 的总功耗为 9.7mW。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/7e59c4f947a9/sensors-21-03713-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/8bc28763e466/sensors-21-03713-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/64563c7b0af7/sensors-21-03713-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/98a6d2a10c6b/sensors-21-03713-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/fe13b43d1f28/sensors-21-03713-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/6b42b2f99c9a/sensors-21-03713-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/61f548b5de45/sensors-21-03713-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/a9312e7d82e8/sensors-21-03713-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/d8ea1d2fe58a/sensors-21-03713-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/7e59c4f947a9/sensors-21-03713-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/8bc28763e466/sensors-21-03713-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/64563c7b0af7/sensors-21-03713-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/98a6d2a10c6b/sensors-21-03713-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/fe13b43d1f28/sensors-21-03713-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/6b42b2f99c9a/sensors-21-03713-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/61f548b5de45/sensors-21-03713-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/a9312e7d82e8/sensors-21-03713-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/d8ea1d2fe58a/sensors-21-03713-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a58f/8198136/7e59c4f947a9/sensors-21-03713-g010.jpg

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本文引用的文献

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