Sensing and Control Strategy for Unmanned Vehicles
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 118
Special Issue Editors
Interests: visual navigation; unmanned aerial vehicles; sensor fusion
Interests: mobile vehicles; autonomous navigation; vision sensor; acoustic sensor
Special Issue Information
Dear Colleagues,
Recently, there has been a surge of interest in developing and applying unmanned vehicles, which present transformative opportunities across various industries. Unmanned vehicles, including drones, autonomous cars, and underwater robots, rely heavily on advanced sensing technologies and intelligent control systems to navigate, communicate, and perform tasks efficiently. These systems ensure safety, precision, and adaptability in dynamic environments. Recent advancements in artificial intelligence (AI), machine learning (ML), and sensor fusion have significantly enhanced the capabilities of unmanned vehicles, enabling them to operate in complex and unpredictable scenarios.
This Special Issue aims to compile original research and review articles that highlight recent innovations, challenges, and applications in the field of sensing and control strategies for unmanned vehicles. Potential topics include but are not limited to:
- Sensor fusion for enhanced environmental perception;
- AI-driven decision-making and path planning;
- Real-time control algorithms for autonomous navigation;
- Collaboration systems for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interactions;
- Localization and mapping techniques in GPS-denied environments;
- Adaptive control strategies for dynamic obstacle avoidance;
- Energy-efficient sensing and control solutions;
- Applications in logistics, agriculture, surveillance, and disaster response;
- Human-vehicle interaction and collaborative control;
- Cybersecurity in unmanned vehicle systems.
We invite researchers and practitioners to contribute to this exciting field, addressing both theoretical and practical challenges to advance the state of the art in unmanned vehicle technologies.
Dr. Haiwen Yuan
Prof. Dr. Changshi Xiao
Prof. Dr. Li Cheng
Guest Editors
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Keywords
- unmanned vehicles
- sensing
- control
- sensor fusion
- autonomous navigation
- vehicle-to-vehicle (V2V) communication
- localization and mapping
- obstacle avoidance
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