LENet:轻巧高效的空中物体探测器

IF 3 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Unmanned Systems Pub Date : 2024-03-28 DOI:10.1142/s2301385025500384
Xunkuai Zhou, Li Li, Ben M. Chen
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LENet: Lightweight and Effective Detector for Aerial Object
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来源期刊
Unmanned Systems
Unmanned Systems AUTOMATION & CONTROL SYSTEMS-
CiteScore
8.50
自引率
30.20%
发文量
36
期刊介绍: An unmanned system is a machine or device that is equipped with necessary data processing units, sensors, automatic control, and communications systems and is capable of performing missions autonomously without human intervention. Unmanned systems include unmanned aircraft, ground robots, underwater explorers, satellites, and other unconventional structures. Unmanned Systems (US) aims to cover all subjects related to the development of automatic machine systems, which include advanced technologies in unmanned hardware platforms (aerial, ground, underwater and unconventional platforms), unmanned software systems, energy systems, modeling and control, communications systems, computer vision systems, sensing and information processing, navigation and path planning, computing, information fusion, multi-agent systems, mission management, machine intelligence, artificial intelligence, and innovative application case studies. US welcomes original manuscripts in the following categories: research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of unmanned systems; review articles and state-of-the-art surveys, which describe the latest in basic theories, principles, and innovative applications; short articles, which discuss the latest significant achievements and the future trends; and book reviews. Special issues related to the topics of US are welcome. A short proposal should be sent to the Editors-in-Chief. It should include a tentative title; the information of the Guest Editor(s); purpose and scope; possible contributors; and a tentative timetable. If the proposal is accepted, the Guest Editor(s) will be responsible for the special issue and should follow the normal US review process. Copies of the reviewed papers and the reviewers'' comments should be given to the Editors-in-Chief for recording purposes.
期刊最新文献
DMTM: Fast Obstacle Detection and Tracking for Motion Planning Adaptive Fuzzy Sliding Mode Tracking Control for a VTOL Aircraft System under Predefined Performance LENet: Lightweight and Effective Detector for Aerial Object Trajectory Planning for Autonomous Formation of Wheeled Mobile Robots via Modified Artificial Potential Field and Improved PSO Algorithm A Real-to-Sim-to-Real Approach for Vision-Based Autonomous MAV-Catching-MAV
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