Vision Based Localization for Multiple Mobile Robots Using Low-cost Vision Sensor

Sports wearable monitoring equipment is an intelligent device that collects many physiological signals of the human body through multiple sensors. It has a very active role in promoting data testing in the field of sports. This article is aimed at studying the impact of sports wearable detection devices based on vision sensors on the sports industry and at proposing effective strategies for the development of sports wearable devices in the sports industry. This paper proposes an azimuth integration algorithm based on wearable sensor data. This goal establishes a new feature based on azimuth angle information for a reliable human behavior recognition system based on acceleration data. Based on summarizing and comparing the advantages and disadvantages of existing azimuth conversion algorithms, this paper develops an azimuth code conversion algorithm based on the combination of additional processing and Kalman processing to explore the impact of wearable devices on the sports industry. The experimental results of this article show that in the current sports industry, more than 19.74 million sports wearable testing devices have been put into use normally, which also means that the industry is about to enter a significant stage of development.

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“…Unfold the noise reduction processing near the filter points x and k [23], and finally, the approximate value formula can be obtained.…”

Section: Algorithm Of Sports Wearable Detection Equipmentmentioning

confidence: 99%

[Retracted] Impact of Sports Wearable Testing Equipment Based on Vision Sensors on the Sports Industry

Long-qiang

Shao-xiong

2021

Journal of Sensors

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“…Two separate cameras are installed above the workspace. A high-definition (HD) camera of a brand new smart phone is used for monitoring purposes, while a Pixy (CMUcam5) vision system (Lee et al , 2015; Dang and Kwon, 2016) is used to obtain the position of the EE and the obstacle. The Pixy camera outputs the position data at 50 Hz.…”

Section: Methodsmentioning

confidence: 99%

Real-time velocity scaling and obstacle avoidance for industrial robots using fuzzy dynamic movement primitives and virtual impedances

Kardan

Akbarzadeh

Mohammadi

2018

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Purpose This paper aims to increase the safety of the robots’ operation by developing a novel method for real-time implementation of velocity scaling and obstacle avoidance as the two widely accepted safety increasing concepts. Design/methodology/approach A fuzzy version of dynamic movement primitive (DMP) framework is proposed as a real-time trajectory generator with imbedded velocity scaling capability. Time constant of the DMP system is determined by a fuzzy system which makes decisions based on the distance from obstacle to the robot’s workspace and its velocity projection toward the workspace. Moreover, a combination of the DMP framework with a human-like steering mechanism and a novel configuration of virtual impedances is proposed for real-time obstacle avoidance. Findings The results confirm the effectiveness of the proposed method in real-time implementation of the velocity scaling and obstacle avoidance concepts in different cases of single and multiple stationary obstacles as well as moving obstacles. Practical implications As the provided experiments indicate, the proposed method can effectively increase the real-time safety of the robots’ operations. This is achieved by developing a simple method with low computational loads. Originality/value This paper proposes a novel method for real-time implementation of velocity scaling and obstacle avoidance concepts. This method eliminates the need for modification of original DMP formulation. The velocity scaling concept is implemented by using a fuzzy system to adjust the DMP’s time constant. Furthermore, the novel impedance configuration makes it possible to obtain a non-oscillatory convergence to the desired path, in all degrees of freedom.

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“…It plays an important role in the eld of robotics. His experimental results show that the proposed method can achieve good positioning performance in a multimobile robot setting [1]. Zhou et al have developed a three-dimensional catadioptric vision sensor that uses 20 to 100 lasers arranged in a circular array, called omnidirectional dot matrix projection (ODMP).…”

Section: Introductionmentioning

confidence: 99%

Digital Communication of Folk Art in Urban Scenes Based on Vision Sensor Images

Zhang

Zhao

et al. 2022

Mobile Information Systems

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With the continuous development of China’s socio-economic level and culture, some of China’s folk arts are gradually declining, and the protection and dissemination of folk arts are extremely important. In today’s modern society with digital information as the carrier, digital communication has more incomparable advantages than traditional communication methods. This paper proposes a research on the digital communication of folk art in urban scenes based on visual sensor images. This article introduces the related applications of visual sensor images and studies the spread of folk art in cities. The research shows that the application of visual sensors has greatly promoted the digitization of folk art. VR virtual reality technology is used as a visual sensor image. Important applications, and its industry scale is expected to reach 149.8 billion yuan globally in 2023. In this paper, by studying the combination of visual sensors applied to folk art, it is believed that visual sensor images can play a better role in promoting and protecting folk art.

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Vision Based Localization for Multiple Mobile Robots Using Low-cost Vision Sensor

Cited by 10 publications

References 17 publications

[Retracted] Impact of Sports Wearable Testing Equipment Based on Vision Sensors on the Sports Industry

[Retracted] Impact of Sports Wearable Testing Equipment Based on Vision Sensors on the Sports Industry

Real-time velocity scaling and obstacle avoidance for industrial robots using fuzzy dynamic movement primitives and virtual impedances

Digital Communication of Folk Art in Urban Scenes Based on Vision Sensor Images

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