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Artificial Intelligence Security in Multiple-Unmanned System Cooperation
Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie
Strategic Study of CAE 2021, Volume 23, Issue 3, Pages 82-89 doi: 10.15302/J-SSCAE-2021.03.007
Multiple unmanned system cooperation is an important component of China’s new-generation artificial intelligence (AI) planning and it is a transformative technology for future national defense construction and social development of China. Although significant achievements have been made regarding the technological research and system integration of multiple unmanned system cooperation, research on AI security is still in its infancy. Promoting multiple unmanned system cooperation enables AI application and risk control. In this article, we propose a four-in-one strategy to promote the collaborative and secure development of multiple unmanned systems, investigate potential challenges and countermeasures for multiple unmanned system cooperation at the endogenous and derivative security levels, and propose several suggestions regarding the security of intelligent unmanned systems. Specifically, a national unmanned system verification platform should be established to promote the construction of talent teams; services need to be upgraded for the unmanned system industry to develop a new-generation AI security ecology; and the advantages of multiple unmanned system cooperation should be maximized to improve people’s livelihood.
Current trends in the development of intelligent unmanned autonomous systems Review
Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 68-85 doi: 10.1631/FITEE.1601650
Keywords： Intelligent unmanned autonomous system Autonomous vehicle Artificial intelligence Robotics Development trend
Cheng Wu, Tao Zhang
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5, Pages 649-651 doi: 10.1631/FITEE.2030000
Heading toward Artificial Intelligence 2.0
Yunhe Pan
Engineering 2016, Volume 2, Issue 4, Pages 409-413 doi: 10.1016/J.ENG.2016.04.018
With the popularization of the Internet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the development of AI 2.0 are given.
Keywords： Artificial intelligence 2.0 Big data Crowd intelligence Cross-media Human-machine hybrid-augmented intelligence Autonomous-intelligent system
Development and Key Technologies of Maritime Unmanned Systems
Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei
Strategic Study of CAE 2023, Volume 25, Issue 3, Pages 74-83 doi: 10.15302/J-SSCAE-2023.03.005
Maritime unmanned system are crucial for future intelligent and unmanned warfare. They have become a new height of competition in the maritime domain and will play an increasingly important role in national defense security. Considering the development demand for national intelligence and unmanned strategies, the study analyzes the development status of maritime unmanned systems and corresponding technologies in China and abroad from the aspects of strategic planning and conceptual guidance, technological research and equipment development, and system demonstration and capability verification. The challenges and trends for the development of maritime unmanned systems are summarized and key technical challenges are proposed. Moreover, development pathways of maritime unmanned systems in key directions are explored and countermeasures to promote the sustained, steady, and rapid development of maritime unmanned systems are recommended from the perspectives of overall thinking, system composition, equipment development, and technology breakthroughs.
Keywords： maritime unmanned systems cluster intelligent cross-domain collaboration key technologies
Affine formation tracking control of unmanned aerial vehicles Research Articles
Huiming LI, Hao CHEN, Xiangke WANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6, Pages 909-919 doi: 10.1631/FITEE.2100109
The tracking problem for (UAVs) is considered in this paper, where fixed-wing UAVs are modeled as unicycle-type agents with asymmetrical speed constraints. A group of UAVs are required to generate and track a time-varying target formation obtained by affinely transforming a nominal formation. To handle this problem, a distributed control law based on stress matrix is proposed under the leader-follower control scheme. It is proved, theoretically, that followers can converge to the desired positions and achieve affine transformations while tracking diverse trajectories. Furthermore, a saturated control strategy is proposed to meet the speed constraints of fixed-wing UAVs, and numerical simulations are executed to verify the effectiveness of our proposed tracking control strategy in improving maneuverability.
Keywords： Affine formation Fixed-wing unmanned aerial vehicles Multi-agent system
Development of Autonomous Underwater Vehicles Technology
Wu Yousheng, Zhao Yiyu, Lang Shuyan, Wang Chuanrong
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 26-31 doi: 10.15302/J-SSCAE-2020.06.004
Unmanned submersibles are important for deep sea exploration; they have become a key development direction for marine equipment worldwide. This study aims to propose a technical system layout for the autonomous underwater vehicles (AUVs) development in China by 2035. To this end, we first systematically summarized the current progress made worldwide regarding AUVs in terms of development plans, research, and application, and analyzed the technical trends and prospects of AUVs by 2035. Subsequently, we introduced the development status of AUVs in China and explored the challenges faced by it regarding top-level planning, equipment development, and industrialization process. Conclusively, China should identify materials and reliability as its basic research directions for AUVs and focus its efforts on breakthroughs in key technologies including perception, communication/navigation, energy, autonomous navigation, and cooperative operation. Furthermore, we proposed a preliminary plan for major scientific and technological projects that aim to promote the pedigree and localization of AUVs in China, and offered some policy suggestions for the high-quality development of the industry in China from the aspects of top-level planning, industry coordination,
policy guidance, and personnel training.
Keywords： deep-sea exploration autonomous underwater vehicles development trend key technologies fundamental research
Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee
Engineering 2020, Volume 6, Issue 8, Pages 919-926 doi: 10.1016/j.eng.2020.07.001
Pine wilt disease (PWD) has recently caused substantial pine tree losses in Republic of Korea. PWD is considered a severe problem due to the importance of pine trees to Korean people, so this problem must be handled appropriately. Previously, we examined the history of PWD and found that it had already spread to some regions of Republic of Korea; these became our study area. Early detection of PWD is required. We used drone remote sensing techniques to detect trees with similar symptoms to trees infected with PWD. Drone remote sensing was employed because it yields high-quality images and can easily reach the locations of pine trees. To differentiate healthy pine trees from those with PWD, we produced a land cover (LC) map from drone images collected from the villages of Anbi and Wonchang by classifying them using two classifier methods, i.e., artificial neural network (ANN) and support vector machine (SVM). Furthermore, compared the accuracy of two types of Global Positioning System (GPS) data, collected using drone and hand-held devices, for identifying the locations of trees with PWD. We then divided the drone images into six LC classes for each study area and found that the SVM was more accurate than the ANN at classifying trees with PWD. In Anbi, the SVM had an overall accuracy of 94.13%, which is 6.7% higher than the overall accuracy of the ANN, which was 87.43%. We obtained similar results in Wonchang, for which the accuracy of the SVM and ANN was 86.59% and 79.33%, respectively. In terms of the GPS data, we used two type of hand-held GPS device. GPS device 1 is corrected by referring to the benchmarks sited on both locations, while the GPS device 2 is uncorrected device which used the default setting of the GPS only. The data collected from hand-held GPS device 1 was better than those collected using hand-held GPS device 2 in Wonchang. However, in Anbi, we obtained better results from GPS device 2 than from GPS device 1. In Anbi, the error in the data from GPS device 1 was 7.08 m, while that of the GPS device 2 data was 0.14 m. In conclusion, both classifiers can distinguish between healthy trees and those with PWD based on LC data. LC data can also be used for other types of classification. There were some differences between the hand-held and drone GPS datasets from both areas.
Keywords： Pine wilt disease Drone remote sensing Artificial neural network Support vector machine Global positioning system
The Recent Technological Development of Intelligent Mining in China
Jinhua Wang,Zenghua Huang
Engineering 2017, Volume 3, Issue 4, Pages 439-444 doi: 10.1016/J.ENG.2017.04.003
In the last five years, China has seen the technological development of intelligent mining and the application of the longwall automation technology developed by the Longwall Automation Steering Committee. This paper summarizes this great achievement, which occurred during the 12th Five-Year Plan (2011–2015), and which included the development of a set of intelligent equipment for hydraulic-powered supports, information transfers, dynamic decision-making, performance coordination, and the achievement of a high level of reliability despite difficult conditions. Within China, the intelligent system of a set of hydraulic-powered supports was completed, with our own intellectual property rights. An intelligent mining model was developed that permitted unmanned operation and single-person inspection on the work face. With these technologies, the number of miners on the work face can now be significantly reduced. Miners are only required to monitor mining machines on the roadway or at the surface control center, since intelligent mining can be applied to extract middle-thick or thick coal seams. As a result, miners’ safety has been improved. Finally, this paper discusses the prospects and challenges of intelligent mining over the next ten years.
Keywords： Coal mine Intelligent mining Mechanized mining work face Longwall Automation Steering Committee Intelligent service center
Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment Review
Jian-guo Li, Kai Zhan
Engineering 2018, Volume 4, Issue 3, Pages 381-391 doi: 10.1016/j.eng.2018.05.013
This article analyzes the current research status and development trend of intelligent technologies for underground metal mines in China, where such technologies are under development for use to develop mineral resources in a safe, efficient, and environmentally friendly manner. We analyze and summarize the research status of underground metal mining technology at home and abroad, including some specific examples of equipment, technology, and applications. We introduce the latest equipment and technologies with independent intellectual property rights for unmanned mining, including intelligent and unmanned control technologies for rock-drilling jumbos, down-the-hole (DTH) drills, underground scrapers, underground mining trucks, and underground charging vehicles. Three basic platforms are used for intelligent and unmanned mining: the positioning and navigation platform, information-acquisition and communication platform, and scheduling and control platform. Unmanned equipment was tested in the Fankou Lead-Zinc Mine in China, and industrial tests on the basic platforms of intelligent and unmanned mining were carried out in the mine. The experiment focused on the intelligent scraper, which can achieve autonomous intelligent driving by relying on a wireless communication system, location and navigation system, and data-acquisition system. These industrial experiments indicate that the technology is feasible. The results show that unmanned mining can promote mining technology in China to an intelligent level and can enhance the core competitive ability of China’s mining industry.
Keywords： Underground Autonomous Communication Navigation Intelligent
Anewhierarchical software architecture towards safety-critical aspects of a drone system Special Feature on Intelligent Robats
Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, Pages 353-362 doi: 10.1631/FITEE.1800636
A new hierarchical software architecture is proposed to improve the safety and reliability of a safetycritical drone system from the perspective of its source code. The proposed architecture uses formal verification methods to ensure that the implementation of each module satisfies its expected design specification, so that it prevents a drone from crashing due to unexpected software failures. This study builds on top of a formally verified operating system kernel, certified kit operating system (CertiKOS). Since device drivers are considered the most important parts affecting the safety of the drone system, we focus mainly on verifying bus drivers such as the serial peripheral interface and the inter-integrated circuit drivers in a drone system using a rigorous formal verification method. Experiments have been carried out to demonstrate the improvement in reliability in case of device anomalies.
Keywords： Safety-critical Drone Software architecture Formal verification
Robot Pilot: A New Autonomous System Toward Flying Manned Aerial Vehicles Article
Zibo Jin, Daochun Li, Jinwu Xiang
Engineering 2023, Volume 27, Issue 8, Pages 242-253 doi: 10.1016/j.eng.2022.10.018
The robot pilot is a new concept of a robot system that pilots a manned aircraft, thereby forming a new type of unmanned aircraft system (UAS) that makes full use of the platform maturity, load capacity, and airworthiness of existing manned aircraft while greatly expanding the operation and application fields of UASs. In this research, the implementation and advantages of the robot pilot concept are discussed in
detail, and a helicopter robot pilot is proposed to fly manned helicopters. The robot manipulators are designed according to the handling characteristics of the helicopter-controlling mechanism. Based on a kinematic analysis of the robot manipulators, a direct-driving method is established for the robot flight controller to reduce the time delay and control error of the robot servo process. A supporting ground station
is built to realize different flight modes and the functional integration of the robot pilot. Finally, a prototype of the helicopter robot pilot is processed and installed in a helicopter to carry out flight tests. The test results show that the robot pilot can independently fly the helicopter to realize forward flight, backward flight, side flight, and turning flight, which verifies the effectiveness of the helicopter robot pilot.
Keywords： Helicopter Robot pilot Flight control Unmanned system
Progress and Consideration of High Precision Road Navigation Map
Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng
Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 99-105 doi: 10.15302/J-SSCAE-2018.02.015
With the rapid development of the Internet, an increasing number of new industries such as "Internet Plus" intelligent transportation and unmanned systems based on location-based services have been gradually developed. The development of these industries requires the support of high precision location data, which the 5 m accuracy of traditional navigation maps cannot provide. To overcome the drawbacks of traditional maps, high precision road navigation maps have been proposed. High precision road navigation maps can provide more detailed road information and are thus able to more accurately reflect the real situation of roads. Compared to traditional maps, high precision road navigation maps possess three advantages. First, they include additional map layers. Second, the content of the layers is finer. Third, a new map structure is divided. However, the rich information content of high precision maps leads to the generation of huge amounts of data. Traditional centralized big data processing modes are unable to meet the computing needs required for processing such huge amounts of data. Therefore, in this paper, we propose a big data processing model involving "crowdsourcing + edge computing" to address the problem of high precision map calculation. At present, high precision road navigation maps have kicked into a high gear. Nevertheless, certain problems persist that need to be addressed during the process of development.
Keywords： high precision road navigation map “Internet Plus” intelligent transportation unmanned systems crowdsourcing edge computing
The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System
Zhang Hongwei,Wu Aiguo,Sheng Tao
Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 58-62
A VAV system can be treated as a multi-agent system. In this paper, a multi-agent-based distributed intelligent control method is presented to solve the problem of concordance and decoupling in the VAV system. A simulation program of VAV system is set up for control analysis. Through a simulation, this control method has been proved to be satisfactory.
Keywords： VAV agent multi-agent system distributed intelligent control
Strategic Research on Disruptive Technologies in the Field of Mechanical and Vehicle Engineering
Yang Yanming, Zhao Yun, Shao Zhufeng, Li Daochun, Gao Zenggui, Zhang Zilong, Shen Yue, Wang Linjun
Strategic Study of CAE 2018, Volume 20, Issue 6, Pages 27-33 doi: 10.15302/J-SSCAE-2018.06.005
Through literature research and expert interviews, the existing or potential disruptive technologies in the field of mechanical and vehicle engineering were proposed: bionic intelligent technology, shaftless rim propulsion technology, intelligent unmanned aerial vehicle technology, ultra-loop train technology, and electromechanical systems (MEMS). The innovative and disruptive advantages of these five technologies were subsequently analyzed. Finally, the suggestions for the development of disruptive technologies in the field of mechanical and vehicle were proposed.
Keywords： mechanical and vehicle engineering disruptive technologies bionic intelligent technology shaftless rim propulsion technology intelligent unmanned aerial vehicle technology ultra-loop train technology MEMS
Title Author Date Type Operation
Artificial Intelligence Security in Multiple-Unmanned System Cooperation
Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie
Journal Article
Current trends in the development of intelligent unmanned autonomous systems
Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU
Journal Article
Intelligent unmanned systems: important achievements and applications of new generation artificial intelligence
Cheng Wu, Tao Zhang
Journal Article
Development and Key Technologies of Maritime Unmanned Systems
Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei
Journal Article
Affine formation tracking control of unmanned aerial vehicles
Huiming LI, Hao CHEN, Xiangke WANG
Journal Article
Development of Autonomous Underwater Vehicles Technology
Wu Yousheng, Zhao Yiyu, Lang Shuyan, Wang Chuanrong
Journal Article
Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques
Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee
Journal Article
The Recent Technological Development of Intelligent Mining in China
Jinhua Wang,Zenghua Huang
Journal Article
Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment
Jian-guo Li, Kai Zhan
Journal Article
Anewhierarchical software architecture towards safety-critical aspects of a drone system
Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN
Journal Article
Robot Pilot: A New Autonomous System Toward Flying Manned Aerial Vehicles
Zibo Jin, Daochun Li, Jinwu Xiang
Journal Article
Progress and Consideration of High Precision Road Navigation Map
Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng
Journal Article
The Application of Multi-agent Based Distributed Intelligent Control in VAV Air Conditioning System
Zhang Hongwei,Wu Aiguo,Sheng Tao
Journal Article
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