Advances in Vision-Based UAV Navigation: Innovations and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 465
Special Issue Editors
Interests: vision navigation
Interests: aviation/space vehicle photoelectric detection technology; intelligent perception and anti-interference technology
Interests: intelligent image processing; machine learning and artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Unmanned Aerial Vehicles (UAVs) have seen remarkable growth in recent years, driven by advances in sensor technology, computing power, and artificial intelligence. Vision-based navigation, which leverages cameras and computer vision, is a key enabling technology for autonomous UAVs. This Special Issue aims to capture the latest innovations and applications in vision-based UAV navigation. It will cover a broad range of topics, from fundamental research to practical implementations, providing a comprehensive overview of the current state of the art and future directions in this dynamic field. By bringing together leading researchers and practitioners, this Special Issue will serve as a valuable resource for advancing the capabilities and applications of UAVs.
This Special Issue focuses on the recent advancements and emerging trends in vision-based navigation for unmanned aerial vehicles (UAVs). We seek original research articles, review papers, and case studies that highlight theoretical developments, novel algorithms, sensor fusion techniques, and practical implementations that enhance the performance, robustness, and autonomy of UAVs. Topics of interest include, but are not limited to, visual simultaneous localization and mapping (VSLAM), real-time obstacle detection and avoidance, machine learning for environmental perception, sensor integration, and energy-efficient navigation. We also encourage submissions that explore the application of vision-based navigation in diverse fields such as urban environments, agriculture, surveillance, and disaster response.
Dr. Bo Li
Dr. Shaoyi Li
Dr. Shun Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- vision-based navigation
- unmanned aerial vehicles (UAVs)
- visual SLAM
- obstacle detection and avoidance
- machine learning
- sensor fusion
- real-time processing
- energy-efficient navigation
- urban environments
- agricultural applications
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