In 2018-2019, IJAC published a series of high-quality reviews by renowned scholars from both China and the World, including Brian D. O. Anderson, Yixin Chen, University of Washington, Wei He, University of Science and Technology Beijing, Jianru Xue, Xi ‘an Jiaotong University, etc. The content covers autonomous driving, social networking, visual tracking, intelligent robotics and many other fields. The full text is free! (Easter eggs at the end)
01
In recent years, multi-axis helicopter has been widely used in aerial photography, cargo transportation, search and rescue, and 3D visual tracking system is very important to obtain the position information of multi-axis helicopter. Compared with traditional 2D visual tracking system, 3D visual tracking system is more promising and challenging. In this context, Professor He Wei and his team from UNIVERSITY of Science and Technology Beijing systematically reviewed three key technologies in 3D visual tracking systems, and analyzed several typical 3D visual tracking systems in detail. Finally, they proposed future development directions and challenges to be addressed. IJAC Special Review, full text open access, welcome to download.
A Survey on 3D Visual Tracking of Multicopters
Qiang Fu, Xiang-Yang Chen, Wei He
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02
The so-called AI restoration is actually the application of super resolution technology. What is super resolution? What are the models and algorithms involved? What are the research prospects? What new ideas will emerge when super-resolution is combined with deep learning? Professor Jin-Chang Ren and his team from the University of Clyde, UK…
Deep Learning Based Single Image Super-resolution: A Survey
Viet Khanh Ha, Jin-Chang Ren, Xin-Ying Xu, Sophia Zhao, Gang Xie, Valentin Masero, Amir Hussain
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03
This review comes from the team of Brian D. O. Anderson, a renowned international scholar in the field of control and systems science, a foreign academician of the American Academy of Engineering, a fellow of the Australian Academy of Sciences, and an IEEE lifetime fellow. It focuses on the latest research progress of public opinion dynamics models in social networks. Part of the article was edited from Professor Brian’s keynote presentation at CCC2018.
Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks
Brian D. O. Anderson, Mengbin Ye
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04
Thanks to Web 2.0 and the growth of smartphones, netizens, or the masses, around the world are producing vast quantities of quality content with the convenience of the Web. In this environment, the concept of “crowdsourcing” was born, which allows cost reduction and efficiency improvement, and is favored by the world’s business giants. What exactly is crowdsourcing? What technical support is needed to build a crowdsourcing platform for product development? What other practical challenges does crowdsourcing face? Researchers from Northumbria University in the UK have the answer…
Key Crowdsourcing Technologies for Product Design and Development
Xiao-Jing Niu, Sheng-Feng Qin, John Vines, Rose Wong, Hui Lu
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05
At present, deep learning has been applied in more and more fields and achieved many positive results, among which medical health is a promising research direction. Professor Yixin Chen’s team at the University of Washington focused on the application of deep learning in all areas of health care (except medical imaging). Through the systematic review of these research results, readers can better grasp the research status of this field from the macro level.
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey
Zhen-Jie Yao, Jie Bi, Yi-Xin Chen
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06
Abstract: Contour detection is a very difficult task. What are the main methods of contour detection? What are the further research directions in the future? Find the answer…
An Overview of Contour Detection Approaches
Xin-Yi Gong, Hu Su, De Xu, Zheng-Tao Zhang, Fei Shen, Hua-Bin Yang
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07
This paper, from the IJAC special topic “Intelligent Control and Computation of Advanced Robots”, systematically studies the software system applied to intelligent micro-robots. The author is Researcher Tobias Tiemerding and Professor Sergej Fatikow of Oldenburg University, Germany.
Software for Small-scale Robotics: A Review
Tobias Tiemerding, Sergej Fatikow
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08
This article from beihang tian-miao wang professor team, combining with related work in the field of intelligent robot, the author analysis the development of intelligent robots research at home and abroad, on the basis of current man-machine collaboration, self-driving technology, emotion recognition, brain-computer interface technology, bionic robot software and cloud platform, data network and other key and a brief review of frontier technology research, The development trend of intelligent robots in China is prospected and some suggestions are put forward.
Current Researches and Future Development Trend of Intelligent Robot: A Review
Tian-Miao Wang, Yong Tao, Hui Liu
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09
What are the models of social network information dissemination analysis? How to evaluate the authority and influence of users based on network structure? How to maximize influence? What other promising research directions are there in the future? Please focus on the review of Professor Enhong Chen’s team from USTC…
Study on Information Diffusion Analysis in Social Networks and Its Applications
Biao Chang, Tong Xu, Qi Liu, En-Hong Chen
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10
This article comes from Xi ‘an Jiaotong University professor Xue Jianru’s team achievement, in 10 years can build a fully autonomous car? What are the current bottlenecks in the development of autonomous driving technology? How to break through in the future? Look at Professor Xue’s answer…
A Survey of Scene Understanding by Event Reasoning in Autonomous Driving
Jian-Ru Xue, Jian-Wu Fang, Pu Zhang
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Note: the menu of the official account includes an AI cheat sheet, which is very suitable for learning on the commute.
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