Target tracking is a key component of control systems with applications in various domains. Several examples of commercial applications may be given, which benefit from this technology: the development of car collision avoidance systems which must detect and track potential obstacles and hazards, or the development of UAVs that can track and record the evolution of athletes. For the purpose of our research, this technology was developed and tested as part of a less complex application. The current work describes a simple yet practical implementation of vision-based control for a mobile robot system. In the experiment, we used a mobile robot as target and a similar robot as follower. To achieve the tracking task, the used strategy involves the detection of a specific visual object mounted on the target, by extracting its features which are then used in issuing control commands within a remotely-closed loop. A Deep Learning approach is used for object detection, incorporating a detector model into the strategy while preserving an explicit controller in the overall scheme. The carried experiment has proven that this new approach provides the expected results, which make it a suitable tool for development of larger scale applications of control systems.

Vlad Ovidiu Mihalca

Ovidiu Moldovan

Ianina Țarcă

Daniel Anton

Dan Noje

International Journal of Computers Communications & Control

International Journal of Computers Communications & Control is directed to the international communities of scientific researchers in computers, communications and control, from the universities, research units and industry. To differentiate from other similar journals, the editorial policy of IJCCC encourages the submission of original scientific papers that focus on the integration of the 3 "C" (Computing, Communications, Control).

In particular, the following topics are expected to be addressed by authors:
(1) Integrated solutions in computer-based control and communications;
(2) Computational intelligence methods & Soft computing (with particular emphasis on fuzzy logic-based methods, computing with words, ANN, evolutionary computing, collective/swarm intelligence);
(3) Advanced decision support systems (with particular emphasis on the usage of combined solvers and/or web technologies).

The International Journal of Computers, Communications and Control serves the international community of scientific researchers in the fields of computers, communications, and control, including universities, research institutions, and industry. To distinguish itself from other similar journals, IJCCC encourages the submission of original scientific papers that focus on the integration of the three "C"s: Computing, Communications, and Control.\n\nIn particular, authors are expected to address the following topics: \n(1) Integrated solutions in computer-based control and communications; \n(2) Computational intelligence methods and soft computing (with a particular emphasis on fuzzy logic-based methods, computing with words, artificial neural networks, evolutionary computing, and collective/swarm intelligence); \n(3) Advanced decision support systems (with a particular emphasis on the use of combined solvers and/or web technologies).

《International Journal of Computers, Communications and Control》旨在服务于计算机、通信和控制领域的国际科学研究社区，包括大学、研究机构和工业界。为了与其他类似期刊区分开来，IJCCC的编辑政策鼓励提交原创科学论文，重点关注三者的整合：计算、通信和控制。\n\n特别地，作者应关注以下主题：\n(1) 基于计算机的控制和通信的集成解决方案；\n(2) 计算智能方法与软计算（特别强调模糊逻辑方法、词汇计算、人工神经网络、进化计算、集体/群体智能）；\n(3) 高级决策支持系统（特别强调结合求解器和/或网络技术的使用）。

Category	Quartile
计算机科学	4
计算机科学, 自动化与控制系统	4
计算机科学, 计算机信息系统	4

Integrating deep learning in target tracking applications, as enabler of control systems

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	3