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Connected and Intelligent Sensors and Smart Systems for Improved Vehicle Autonomy, Efficiency and Resilience

This special issue belongs to the section “Fault Diagnosis & Sensors“.

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensor fusion
  • smart system
  • fault
  • control
  • monitoring
  • vehicle
  • autonomy
  • resilience
  • estimation
  • Internet of Things (IoT)

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Sensors - ISSN 1424-8220