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CMOS Image Sensors and Applications
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CMOS Image Sensors and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (20 August 2020) | Viewed by 8708

Special Issue Editor

Dr. Kiyotaka Sasagawa

E-Mail Website
Guest Editor
Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara 630-0192, Japan
Interests: CMOS image sensor; integrated circuit; biomedical imaging; implantable device; lensless imaging; image processing; microwave photonics

Special Issue Information

Dear Colleagues,

CMOS image sensors have received great attention because of their wide range of applications, such as in digital cameras, automotive cameras, 3D imaging, distance estimation, high-speed imaging, biomedical imaging, and X-ray imaging, to name but a few. By virtue of the recent developments in image sensor technology, their performance has surpassed human eyes. Furthermore, special imaging has been realized by the integration of optical elements and signal processing functions.

This Special Issue welcomes contributions dealing with various aspects of image sensors, including in high-speed, high-resolution, high-sensitivity, high dynamic range, and single-photon imaging, as well as the development of highly functional image sensors by using signal processing, new materials, and special image sensors for THz wave, bioimaging, and others.

Dr. Kiyotaka Sasagawa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Published Papers (2 papers)

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Research

16 pages, 8306 KiB  
Article
Research on Target Deviation Measurement of Projectile Based on Shadow Imaging Method in Laser Screen Velocity Measuring System
by Wenbo Chu, Donge Zhao, Baowei Liu, Bin Zhang and Zhiguo Gui
Sensors 2020, 20(2), 554; https://doi.org/10.3390/s20020554 - 19 Jan 2020
Cited by 23 | Viewed by 4565
Abstract
In the laser screen velocity measuring (LSVM) system, there is a deviation in the consistency of the optoelectronic response between the start light screen and the stop light screen. When the projectile passes through the light screen, the projectile’s over-target position, at which [...] Read more.
In the laser screen velocity measuring (LSVM) system, there is a deviation in the consistency of the optoelectronic response between the start light screen and the stop light screen. When the projectile passes through the light screen, the projectile’s over-target position, at which the timing pulse of the LSVM system is triggered, deviates from the actual position of the light screen (i.e., the target deviation). Therefore, it brings errors to the measurement of the projectile’s velocity, which has become a bottleneck, affecting the construction of a higher precision optoelectronic velocity measuring system. To solve this problem, this paper proposes a method based on high-speed shadow imaging to measure the projectile’s target deviation, ΔS, when the LSVM system triggers the timing pulse. The infrared pulse laser is collimated by the combination of the aspherical lens to form a parallel laser source that is used as the light source of the system. When the projectile passes through the light screen, the projectile’s over-target signal is processed by the specially designed trigger circuit. It uses the rising and falling edges of this signal to trigger the camera and pulsed laser source, respectively, to ensure that the projectile’s over-target image is adequately exposed. By capturing the images of the light screen of the LSVM system and the over-target projectile separately, this method of image edge detection was used to calculate the target deviation, and this value was used to correct the target distance of the LSVM to improve the accuracy of the measurement of the projectile’s velocity. Full article
(This article belongs to the Special Issue CMOS Image Sensors and Applications)
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17 pages, 5821 KiB  
Article
A Computer Vision-Based Navigation and Localization Method for Station-Moving Aircraft Transport Platform with Dual Cameras
by Jianming Tang, Weidong Zhu and Yunbo Bi
Sensors 2020, 20(1), 279; https://doi.org/10.3390/s20010279 - 3 Jan 2020
Cited by 9 | Viewed by 3607
Abstract
In order to develop equipment adapted to the aircraft pulse final assembly line, a vision-based aircraft transport platform system is developed. This article explores a guiding method between assembly stations which is low-cost and easy to change routes by using two-dimensional code and [...] Read more.
In order to develop equipment adapted to the aircraft pulse final assembly line, a vision-based aircraft transport platform system is developed. This article explores a guiding method between assembly stations which is low-cost and easy to change routes by using two-dimensional code and two complementary metal oxide semiconductor (CMOS) cameras. The two cameras installed on the front and back of the platform read the two-dimensional code containing station information to guide the platform. In the process of guiding, the theoretical position and posture of the platform at each assembly station are known, but there is a difference between the actual and theoretical values due to motion errors. To reduce the influence of the deviation on the navigation route, a localization method is proposed based on the two-dimensional images captured by the cameras. Canny edge detection is applied to the processed image to obtain the position of the two-dimensional code in the image, which can measure the angle/distance deviation of the platform. Then, the computer can locate the platform precisely by the information in the two-dimensional code and the deviation measured by the image. To verify the feasibility of the proposed method, experiments have been performed on the developed platform system. The results show that the distance and angle errors of the platform are within ±10 mm and ±0.15° respectively. Full article
(This article belongs to the Special Issue CMOS Image Sensors and Applications)
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