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Target Tracking, Guidance, and Navigation for Autonomous Systems
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School of Mechanical and Control Engineering, Handong Global University, Pohang, Republic of Korea
College of Aerospace, Beijing Institute of Technology, Beijing 100081, China
Department of Physical and Technological Oceanography, Institut de Ciències del Mar (ICM), Consejo Superior de Investigaciones Científicas (CSIC), 08003 Barcelona, Spain
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Target Tracking, Guidance, and Navigation for Autonomous Systems

Abstract submission deadline
closed (30 November 2023)
Manuscript submission deadline
closed (20 February 2024)
Viewed by
51376

Topic Information

Dear Colleagues,

Growing civilian and military demand for autonomous systems, including unmanned vehicles, has promoted the development of modern target tracking, guidance, and navigation technologies. Target information is vital for autonomous systems to interact with their surrounding environments, enabling them to complete their missions. However, the quality of target information is affected by the motion of the system itself, which implies that the target-tracking problem is inseparable from the guidance and navigation of autonomous systems. Modern technologies such as model-/data-driven estimation, heterogeneous data fusion, optimization, and artificial intelligence can improve target-tracking systems and, subsequently, change the overall performance of guidance and navigation. This Special Issue aims to identify recent theoretical and technical advances in target tracking, guidance, and navigation, which provide autonomous systems with a high degree of autonomy. Related topics include, but are not limited to: 

  • Tracking maneuvering targets in cluttered/jammed environments;
  • Joint target tracking and classification using heterogenous sensors;
  • Centralized/distributed multi-sensor fusion;
  • Optimal sensor arrangement;
  • Guidance, navigation, and control of autonomous vehicles;
  • Integrated target tracking and guidance;
  • Dynamic model-based navigation;
  • Swarm localization;
  • Dynamic object tracking using SLAM (simultaneous localization and mapping);
  • Applied artificial intelligence in target tracking, guidance, and navigation.

Prof. Dr. Won-Sang Ra
Prof. Dr. Shaoming He
Dr. Ivan Masmitja
Topic Editors

Keywords

  • target tracking
  • target classification
  • heterogeneous sensor fusion
  • sensor arrangement
  • autonomous navigation
  • autonomous vehicle guidance
  • swarm localization
  • applied artificial intelligence

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Aerospace
aerospace 		2.1 3.4 2014 24 Days CHF 2400
Applied Sciences
applsci 		2.5 5.3 2011 17.8 Days CHF 2400
Automation
automation 		- 2.9 2020 20.6 Days CHF 1000
Drones
drones 		4.4 5.6 2017 21.7 Days CHF 2600
Remote Sensing
remotesensing 		4.2 8.3 2009 24.7 Days CHF 2700
Sensors
sensors 		3.4 7.3 2001 16.8 Days CHF 2600

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Published Papers (34 papers)

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