Airborne Unmanned Sensor System for UAVs
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 1181
Special Issue Editors
Interests: unmanned aerial vehicles; decision making on multi-agent systems; distributed sensing and estimation; data-centric guidance and control
Special Issues, Collections and Topics in MDPI journals
Interests: guidance of aerial vehicles; decision making; application of artificial intelligence in aerospace
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The proliferation of low-cost, lightweight, and power-efficient sensors, in combination with advances in networked systems, has enabled the use of multiple sensors in UAVs to accomplish different missions, including environmental monitoring, habitat monitoring, airborne target tracking, situation awareness, etc. These advances have permitted the use of multiple UAVs to cooperatively perform large-scale sensing tasks which would otherwise be difficult to accomplish by individually operating these sensing devices. The challenge of operating low-cost sensors, e.g., visual camera, infrared/laser range finder, acoustic sensor, etc., is that they are likely to contain some degree of uncertainties and usually have limited spatial coverage, communication and computation capabilities. Modern technologies such as model-/data-driven estimation, heterogeneous data fusion, optimization, and artificial intelligence can improve the performance of using low-cost onboard sensors. This Special Issue aims to identify recent theoretical and technical advances in airborne unmanned sensor systems for UAVs. Related topics include, but are not limited to:
- Airborne target tracking in cluttered environments;
- Airborne target tracking in GPS-denied environments;
- Integrated tracking and searching in unknown environments;
- Distributed multi-sensor fusion;
- Sensor management and UAV trajectory optimization;
- Sensor bias calibration;
- Integrated target tracking and calibration;
- Scalable target(s) tracking algorithm;
- Applied artificial intelligence in target tracking.
Prof. Dr. Hyo-sang Shin
Prof. Dr. Shaoming He
Guest Editors
Manuscript Submission Information
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