Recent Advances in Autonomous Localization and Navigation System
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 261
Special Issue Editor
Special Issue Information
Dear Colleagues,
Autonomous localization and navigation system is at the forefront of modern technological advancement, playing a critical role in robotics, autonomous vehicles, unmanned aerial systems, and other intelligent platforms. The system allows machines to perceive their surroundings, determine their positions, and navigate effectively in dynamic and unpredictable environment. With the rapid development of sensor technologies, artificial intelligence, and computational algorithms, this field has witnessed significant progress. However, challenges such as enhancing accuracy, robustness, and adaptability in complex environment remain key areas of ongoing research.
This Special Issue aims to highlight the latest research and development in autonomous localization and navigation system, emphasizing innovative electronic solutions and practical applications. The topic aligns with the scope of Electronics by addressing cutting-edge technologies and their implementation in intelligent systems. We welcome contributions that present original research or comprehensive reviews aimed at advancing knowledge and practical implementation in the field. Research areas may include (but not limited to) the following:
- Sensor fusion and integration for localization and navigation;
- Simultaneous localization and mapping (SLAM) techniques;
- AI and machine learning for navigation systems;
- Localization in GPS-denied or challenging environments;
- Path planning, obstacle avoidance, and trajectory optimization;
- Real-time processing and embedded systems for navigation;
- Applications in autonomous vehicles, drones, and robotics.
I look forward to receiving your contributions.
Dr. Jiuchao Qian
Guest Editor
Manuscript Submission Information
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Keywords
- autonomous localization
- navigation system
- sensor fusion
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