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Keywords = rolling shutter effect (RSE)

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16 pages, 9302 KB  
Article
Visible Light Positioning-Based Robot Localization and Navigation
by Moi-Tin Chew, Fakhrul Alam, Frazer K. Noble, Mathew Legg and Gourab Sen Gupta
Electronics 2024, 13(2), 368; https://doi.org/10.3390/electronics13020368 - 16 Jan 2024
Cited by 1 | Viewed by 3549
Abstract
Visible light positioning or VLP has been identified as a promising technique for accurate indoor localization utilizing pre-existing lighting infrastructure. Robot navigation is one of the many potential applications of VLP. Recent literature shows a small number of works on robots being controlled [...] Read more.
Visible light positioning or VLP has been identified as a promising technique for accurate indoor localization utilizing pre-existing lighting infrastructure. Robot navigation is one of the many potential applications of VLP. Recent literature shows a small number of works on robots being controlled by fusing location information acquired via VLP that uses a rolling shutter effect camera as a receiver with other sensor data. This paper, in contrast, reports on the experimental performance of a cartesian robot that was controlled solely by a VLP system using a cheap photodiode-based receiver rigidly attached to the robot’s end-effector. The receiver’s position was computed using an inverse-Lambertian function for ranging followed by multi-lateration. We developed two novel methods to leverage the VLP as an online navigation system to control the robot. The position acquired from the VLP was used by the algorithms to determine the direction the robot needed to move. The developed algorithms guided the end-effector to move from a starting point to target/destination point(s) in a discrete manner, determined by a pre-determined step size. Our experiments consisted of the robot autonomously repeating straight line-, square- and butterfly-shaped paths multiple times. The results show median errors of 27.16 mm and 26.05 mm and 90 percentile errors of 37.04 mm and 47.48 mm, respectively, for the two methods. Full article
(This article belongs to the Special Issue Advanced Localization System: From Theory to Applications)
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15 pages, 8254 KB  
Article
Performance Enhancement Scheme for RSE-Based Underwater Optical Camera Communication Using De-Bubble Algorithm and Binary Fringe Correction
by Zihao Zhou, Shangsheng Wen, Yue Li, Wenxi Xu, Zhijian Chen and Weipeng Guan
Electronics 2021, 10(8), 950; https://doi.org/10.3390/electronics10080950 - 16 Apr 2021
Cited by 14 | Viewed by 3162
Abstract
Optical camera communications (OCC) has been growing rapidly in recent years, which offers a flexible and low-cost way to achieve underwater wireless optical communication (UWOC). However, the existence of underwater bubbles and suspended impurities will greatly decrease the signal quality. In this paper, [...] Read more.
Optical camera communications (OCC) has been growing rapidly in recent years, which offers a flexible and low-cost way to achieve underwater wireless optical communication (UWOC). However, the existence of underwater bubbles and suspended impurities will greatly decrease the signal quality. In this paper, we propose a de-bubble algorithm and a sampling scheme based on binary fringes correction (BFC) to enhance the communication quality. The experimental results demonstrate that a robust transmission can be achieved in the harsh bubble environment by applying the proposed two algorithms. Full article
(This article belongs to the Section Microwave and Wireless Communications)
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17 pages, 5556 KB  
Article
Object Distance Estimation Using a Single Image Taken from a Moving Rolling Shutter Camera
by Namhoon Kim, Junsu Bae, Cheolhwan Kim, Soyeon Park and Hong-Gyoo Sohn
Sensors 2020, 20(14), 3860; https://doi.org/10.3390/s20143860 - 10 Jul 2020
Cited by 11 | Viewed by 8557
Abstract
This paper proposes a technique to estimate the distance between an object and a rolling shutter camera using a single image. The implementation of this technique uses the principle of the rolling shutter effect (RSE), a distortion within the rolling-shutter-type camera. The proposed [...] Read more.
This paper proposes a technique to estimate the distance between an object and a rolling shutter camera using a single image. The implementation of this technique uses the principle of the rolling shutter effect (RSE), a distortion within the rolling-shutter-type camera. The proposed technique has a mathematical strength compared to other single photo-based distance estimation methods that do not consider the geometric arrangement. The relationship between the distance and RSE angle was derived using the camera parameters (focal length, shutter speed, image size, etc.). Mathematical equations were derived for three different scenarios. The mathematical model was verified through experiments using a Nikon D750 and Nikkor 50 mm lens mounted on a car with varying speeds, object distances, and camera parameters. The results show that the mathematical model provides an accurate distance estimation of an object. The distance estimation error using the RSE due to the change in speed remained stable at approximately 10 cm. However, when the distance between the object and camera was more than 10 m, the estimated distance was sensitive to the RSE and the error increased dramatically. Full article
(This article belongs to the Section Sensing and Imaging)
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