AI-Based Object Detection and Tracking in UAVs: Challenges and Research Directions—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 609
Special Issue Editor
Interests: unmanned aerial vehicle; flight dynamics and control; aerial robotics; SLAM
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Combining autonomous unmanned aerial vehicles (UAVs) and AI-based object detection and tracking could significantly improve efficiency, reduce costs, and lower risks for various applications. With fast developments in UAV platform design, cameras, micro-computers, and image-processing algorithms, autonomous UAVs have become a promising sensing platform for various applications such as environmental monitoring and infrastructure inspection. These systems can reduce the necessity of traditional manual inspection in risky working environments and avoid the cost of using piloted fixed-wing aircraft or helicopters to conduct large-scale sensing tasks.
New aerial-based sensors with machine learning, object detection, and tracking capabilities provide both opportunities and challenges that allow the research community to provide novel solutions. The key aim of this Special Issue is to bring together innovative research that uses off-the-shelf or custom-made platforms to extend autonomous aerial sensing capabilities. Contributions from all fields related to UAVs and aerial-image processing techniques are of interest, particularly including, but not limited to, the following topics:
Unmanned aerial vehicle (UAV) systems;
Machine learning;
AI-based data processing;
Object detection;
Object tracking;
Localization and mapping;
Path planning;
Obstacle avoidance;
Multi-agent collaboration.
Dr. Boyang Li
Guest Editor
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Keywords
- object detection
- object tracking
- UAV
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