Connected and Intelligent Sensors and Smart Systems for Improved Vehicle Autonomy, Efficiency and Resilience
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 10 December 2025 | Viewed by 29
Special Issue Editors
Interests: guidance, navigation, and control for uncrewed aerial vehicles (UAVs); fault detection; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: guidance, navigation, and control of aerial systems; robust and adaptive control theory; unmanned traffic management
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous systems design; unmanned aerial systems and vehicles; avionics systems design; autopilot design; autonomous navigation; collision avoidance; real-time path planning; local positioning; control; embedded systems; sensors; data fusion
Special Issue Information
Dear Colleagues,
The last few years have seen significant advances in sensor fusion techniques and ground and air connected autonomous vehicles. There is also a trend towards the development of sensor and vehicle networks, allowing increasingly autonomous vehicles to operate in challenging environments from remote or hard-to-access areas to future cities. Smart connected systems are also increasingly needed to leverage the capabilities of the internet of things (IoT) by allowing different types of vehicles to be connected to the cloud or to a network of devices in real time. Vehicle connectivity not only enables inter-vehicle communications, but also allows the vehicles to access information about the environments where they operate.
In this context, advances in estimation and prediction algorithms are needed to allow for a more efficient fusion of increasingly heterogenous sensors and the estimation and prediction of vehicle states.
Innovative real-time estimation, prediction and control systems, including artificial intelligence (AI)-enabled smart systems, are increasingly required to optimise vehicle functions, from accurate and resilient multi-sensor vehicle navigation with the ability to autonomously recover from faults to performance and environment monitoring systems to ensure vehicle safety and improve energy and mission efficiency, including factors such as emissions reduction. These systems enable advanced capabilities, such as the enhanced monitoring and control of connected vehicles in complex or uncertain environments.
The methods used range from deterministic to Bayesian state and fault estimation and artificial intelligence for the handling of tasks, including fault diagnosis and the reconfiguration of multimode, multi-sensor monitoring and control systems.
This Special Issue will bring together papers that particularly describe recent advances in sensor fusion and smart monitoring and/or control systems for increasingly autonomous and connected ground, air and space vehicles. Papers with theoretical, simulation and practical experimental results in this field are all encouraged.
Dr. Nadjim Horri
Dr. Toufik Souanef
Dr. Thomas Statheros
Guest Editors
Manuscript Submission Information
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Keywords
- sensor fusion
- smart system
- fault
- control
- monitoring
- vehicle
- autonomy
- resilience
- estimation
- Internet of Things (IoT)
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