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From Unmanned Systems to Autonomous Intelligent Systems
Jie Chen, Jian Sun, Gang Wang
Engineering 2022, Volume 12, Issue 5, Pages 16-19 doi: 10.1016/j.eng.2021.10.007
UnIC: Towards Unmanned Intelligent Cluster and Its Integration into Society
Fubiao Zhang, Jing Yu, Defu Lin, Jun Zhang
Engineering 2022, Volume 12, Issue 5, Pages 24-38 doi: 10.1016/j.eng.2022.02.008
Collaborative unmanned systems have emerged to meet our society’s wide-ranging grand challengesHowever, the current networked unmanned systems still do not have sufficient human-level intelligenceWe propose in this paper a vision of human-centric networked unmanned systems: Unmanned Intelligent ClustersWithin this vision, distributed unmanned systems and humans are connected via knowledge to achieve cognition
Keywords： Unmanned intelligent systems Human centric systems Social intelligence Social acceptance Socio-technicalsystems
On the Trends of Autonomous Unmanned Systems Research
Ben M. Chen
Engineering 2022, Volume 12, Issue 5, Pages 20-23 doi: 10.1016/j.eng.2021.10.014
Cheng Wu, Tao Zhang
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5, Pages 649-651 doi: 10.1631/FITEE.2030000
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2
Keywords： autonomous excavation unmanned electric shovel point cloud excavation trajectory planning
Integrated Network Design and Demand Forecast for On-Demand Urban Air Mobility Article
Zhiqiang Wu, Yu Zhang
Engineering 2021, Volume 7, Issue 4, Pages 473-487 doi: 10.1016/j.eng.2020.11.007
Urban air mobility (UAM) is an emerging concept proposed in recent years that uses electric vertical take-off and landing vehicles (eVTOLs). UAM is expected to offer an alternative way of transporting passengers and goods in urban areas with significantly improved mobility by making use of low-altitude airspace. In addition to other essential elements, ground infrastructure of vertiports is needed to transition UAM from concept to operation. This study examines the network design of UAM on-demand service, with a particular focus on the use of integer programming and a solution algorithm to determine the optimal locations of vertiports, user allocation to vertiports, and vertiport access- and egress-mode choices while considering the interactions between vertiport locations and potential UAM travel demand. A case study based on simulated disaggregate travel demand data of the Tampa Bay area in Florida, USA was conducted to demonstrate the effectiveness of the proposed model. Candidate vertiport locations were obtained by analyzing a three-dimensional (3D) geographic information system (GIS) map developed from lidar data of Florida and physical and regulation constraints of eVTOL operations at vertiports. Optimal locations of vertiports were determined to achieve the minimal total generalized cost; however, the modeling structure allows each user to select a better mode between ground transportation and UAM in terms of generalized cost. The outcomes of the case study reveal that although the percentage of trips that switched from ground mode to multimodal UAM was small, users choosing the UAM service benefited from significant time saving. In addition, the impact of different parameter settings on the demand for UAM service was explored from the supply side, and different pricing strategies were tested that might influence potential demand and revenue generation for UAM operators. The combined effects of the number of vertiports and pricing strategies were also analyzed. The findings from this study offer in-depth planning and managerial insights for municipal decision-makers and UAM operators. The conclusion of this paper discusses caveats to the study, ongoing efforts by the authors, and future directions in UAM research.
Keywords： Advanced air mobility Skyport Travel mode choice Low-altitude airspace Unmanned systems
The Development and Research Synopsis of Large UAV in China
Zhao Xu
Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 1, Pages 38-41
Keywords： target drone unmanned air vehicle (UAV) unmanned combat air vehicle (UCAV) development application
A review of cooperative path planning of an unmanned aerial vehicle group
Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota,brucebin@bit.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12, Pages 1671-1814 doi: 10.1631/FITEE.2000228
Development of Unmanned Equipment in Marine Rights Protection
Meng Xiangyao, Ma Yan, Cao Yuan, Cui Donghua
Strategic Study of Chinese Academy of Engineering 2020, Volume 22, Issue 6, Pages 49-55 doi: 10.15302/J-SSCAE-2020.06.007
Keywords： marine rights and interests marine rights protection unmanned equipment system key technology
Progress and Consideration of High Precision Road Navigation Map
Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng
Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 2, Pages 99-105 doi: 10.15302/J-SSCAE-2018.02.015
Keywords： high precision road navigation map “Internet Plus” intelligent transportation unmanned systems crowdsourcing
Artificial Intelligence Security in Multiple-Unmanned System Cooperation
Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie
Strategic Study of Chinese Academy of Engineering 2021, Volume 23, Issue 3, Pages 82-89 doi: 10.15302/J-SSCAE-2021.03.007
Multiple unmanned system cooperation is an important componentPromoting multiple unmanned system cooperation enables AI application and risk control.systems, investigate potential challenges and countermeasures for multiple unmanned system cooperationsystems.AI security ecology; and the advantages of multiple unmanned system cooperation should be maximized
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
Editorial for the Special Issue on Unmanned Intelligent Cluster Editorial
Jun Zhang, Toshio Fukuda, Defu Lin, Florian Holzapfel
Engineering 2022, Volume 12, Issue 5, Pages 1-2 doi: 10.1016/j.eng.2022.04.001
Research on Development Strategy of Unmanned Driving Technology
Yang Yanming, Gao Zenggui, Zhang Zilong, Shen Yue, Wang Linjun
Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 6, Pages 101-104 doi: 10.15302/J-SSCAE-2018.06.016
Unmanned driving technology is considered as a highly disruptive technologycomparative analysis and literature research, this paper analyses the development trend and stage of unmannedIt also proposes to promote the development of unmanned driving technology by strengthening the research
Keywords： disruptive technology unmanned driving technology automotive wire control technology energy power
Secure connectivity analysis in unmanned aerial vehicle networks None
Xin YUAN, Zhi-yong FENG, Wen-jun XU, Zhi-qing WEI, Ren-ping LIU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3, Pages 409-422 doi: 10.1631/FITEE.1700032
Keywords： Unmanned aerial vehicle networks (UAVNs) Trust model Secure connectivity Doppler shift
Title Author Date Type Operation
From Unmanned Systems to Autonomous Intelligent Systems
Jie Chen, Jian Sun, Gang Wang
Journal Article
UnIC: Towards Unmanned Intelligent Cluster and Its Integration into Society
Fubiao Zhang, Jing Yu, Defu Lin, Jun Zhang
Journal Article
Intelligent unmanned systems: important achievements and applications of new generation artificial intelligence
Cheng Wu, Tao Zhang
Journal Article
Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based
Journal Article
Integrated Network Design and Demand Forecast for On-Demand Urban Air Mobility
Zhiqiang Wu, Yu Zhang
Journal Article
A review of cooperative path planning of an unmanned aerial vehicle group
Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota,brucebin@bit.edu.cn
Journal Article
Development of Unmanned Equipment in Marine Rights Protection
Meng Xiangyao, Ma Yan, Cao Yuan, Cui Donghua
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
Artificial Intelligence Security in Multiple-Unmanned System Cooperation
Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie
Journal Article
Affine formation tracking control of unmanned aerial vehicles
Huiming LI, Hao CHEN, Xiangke WANG
Journal Article
Editorial for the Special Issue on Unmanned Intelligent Cluster
Jun Zhang, Toshio Fukuda, Defu Lin, Florian Holzapfel
Journal Article
Research on Development Strategy of Unmanned Driving Technology
Yang Yanming, Gao Zenggui, Zhang Zilong, Shen Yue, Wang Linjun
Journal Article
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