The Algorithm of Cyber-physical System Targeting on a Movable Object Using the Smart Sensor Unit

Kushnir, Dmytro; Paramud, Yaroslav

doi:10.23939/acps2020.01.016

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parameters in the internal parameters are as follows: vision sensor resolution, focal length, distortion coefficient, frame rate, and pixel depth. The parameters in the external parameters are as follows: vision sensor position, rotation direction, and translation direction [18].…”

Section: Motion Capture Technology and Ice Andmentioning

confidence: 99%

[Retracted] Motion Capture Based on Intelligent Sensor in Snow and Ice Sports

Nian

Liu

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

With the development of motion capture technology, it has become a reality to efficiently and quickly obtain realistic human motion information. Motion capture technology has been successfully applied in many fields such as sports competitions, animation games, and film and television production. This article is aimed at studying the application of motion capture technology based on smart sensors in ice and snow sports. Put forward the idea of applying smart sensor-based motion capture technology to ice and snow sports. This article introduces in detail smart sensors, motion capture technology, and related content of ice and snow sports and conducts specific experiments on the application of smart sensor-based motion capture technology in ice and snow sports. The experimental results show that motion capture based on smart sensor technology can help athletes improve their skills and tactics. At the same time, motion capture technology based on smart sensors is also loved by most coaches and athletes, and everyone’s satisfaction with this technology has reached more than 70%.

show abstract

Section: Motion Capture Technology and Ice Andmentioning

confidence: 99%

[Retracted] Motion Capture Based on Intelligent Sensor in Snow and Ice Sports

Nian

Liu

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

The Inteligene Algorithm of Cyber–physical System Targeting on a Movable Object Using the Smart Sensor Unit

Kushnir¹,

Paramud²

2017

СSN

View full text Add to dashboard Cite

As a result of the analytical review, it was established that smart sensor units are one of the main components of the cyber–physical system. One of the tasks, which have been entrusted to such units, are targeting and tracking of movable objects. The algorithm of targeting on such objects using observation equipment has been considered. This algorithm is able to continuously monitor observation results, predict the direction with the highest probability of movement and form a set of commands to maximize the approximation of a moving object to the center of an information frame. The algorithm, is based on DDPG reinforcement learning algorithm. The algorithm has been verified on an experimental physical model using a drone. The object recognition module has been developed using YOLOv3 architecture. iOS application has been developed in order to communicate with the drone through WIFI hotspot using UDP commands. Advanced filters have been added to increase the quality of recognition results. The results of experimental research on the mobile platform confirmed the functioning of the targeting algorithm in real–time. Key words: Cyber–physical system, smart sensor unit, reinforcement learning, targeting algorithm, drones.

show abstract

Methods of Tracking an Arbitrary Number of Objects in Real-Time on a Mobile Platform

Kushnir

2023

СSN

View full text Add to dashboard Cite

The problem of choosing methods for tracking recognized objects in real-time for systems with limited hardware capabilities is considered. It was determined that for such scenarios, it is appropriate to integrate tracking methods into the device, bypassing data transmission via the Internet. Existing methods of tracking an arbitrary number of objects in real-time are considered. Among the performance evaluation metrics, the following were used: MOTA, MOTP, F1, MT, ML, ID, and FM. Based on the primary analysis of the effectiveness of such methods according to the metrics mentioned above, it was proposed to use the V-IOU tracking method to track recognized objects on a mobile platform in a mobile cyber-physical system. Key words: V-IOU, Arbitrary Object Class Tracking, Mobile Platform, Real-Time, MOTA, MOTP, Cyber-Physical System.

show abstract

The Algorithm of Cyber-physical System Targeting on a Movable Object Using the Smart Sensor Unit

Cited by 3 publications

References 6 publications

[Retracted] Motion Capture Based on Intelligent Sensor in Snow and Ice Sports

[Retracted] Motion Capture Based on Intelligent Sensor in Snow and Ice Sports

The Inteligene Algorithm of Cyber–physical System Targeting on a Movable Object Using the Smart Sensor Unit

Methods of Tracking an Arbitrary Number of Objects in Real-Time on a Mobile Platform

Contact Info

Product

Resources

About