Target Tracking, Guidance, and Navigation for Autonomous Systems

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