Advanced Navigation and Intelligent Perception Technology for Unmanned Systems

Dear Colleagues,

Sensor-integrated unmanned systems play an important role in transportation, resource investigation, etc. Their precise operation process in complex environments relies on navigation systems (e.g., GNSS/SINS integrated navigation systems, SINS/DVL integrated navigation systems, SLAM systems, etc.) and perception systems accomplish various observation and detection tasks. In complex environments, navigation systems are affected by changes in actual carrier motion scenes (such as turning, acceleration and deceleration), variations in light brightness, changes in GNSS/DVL signal-to-noise ratio levels, and multipath effects, resulting in model mismatch and variable noise statistical characteristics. In addition, deteriorating or even missing measurement information poses challenges to carrying out accurate estimations of the sensing system. The application of the system in the field of high-precision navigation and positioning is limited by these factors. Therefore, this Special Issue focuses on advanced navigation and intelligent perception technologies in challenging environments and explores in depth the theory and methods of highly reliable navigation for unmanned systems.

The Special Issue welcomes original research and review articles on various topics, including (but not limited to) the following:

• Integrated navigation and positioning methods for unmanned systems;
• AI-driven smart navigation and positioning methods for unmanned systems;
• SLAM technology in challenging environments;
• Intelligent perception and precise localization technology;
• Accurate estimations of sensing systems;
• Autonomous path planning and motion control;
• Multi-sensor fusion methods in challenging environments;
• Tightly and deep-tightly integrated navigation system design;
• Deep learning for perception and control;
• Cooperative heterogeneous unmanned systems;
• Advanced sensing devices and hardware integration;
• Bio-inspired mechanisms and robotics.

Dr. Junwei Wang
Dr. Jianguo Liu
Dr. Fengyu Liu
Guest Editors

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