Intelligent Sensors for Smart and Autonomous Vehicles
Deadline for manuscript submissions: 7 July 2024 | Viewed by 8728
Interests: intelligent sensors; sensor fusion in automotive applications; automotive testing; powertrain concept; energy efficiency; autonomous vehicles; computer modeling and simulation in the automotive field
Interests: electric vehicles; electric vehicles; fuel cell vehicles; powertrain concept; electronic control unit; in-vehicle communication network; energy efficiency; autonomous vehicles; computer modeling and simulation in the automotive field
Special Issues, Collections and Topics in MDPI journals
Autonomous vehicles (AV) must be intelligent. These, in addition to the functional algorithm programmed in the autonomous driving system, must decide for themselves at any time the next actions of the vehicle, including in safety-critical situations. In order to make these decisions which are going to take AVs toward levels 4 and 5 of driving automation (as they are defined, SAE 3016), these vehicles must have an intelligent perception system. Tasks of localization, perception, prediction, and planning of the vehicle’s current and future actions are based on the data harvested by intelligent sensors from their environment. Providing up-to-date information regarding the capabilities and limits, advantages, and disadvantages of intelligent sensors for AV would be useful for the entire community involved in the development of AVs, thus making AVs more reliable, safer, and more robust.
In this Special Issue on “Intelligent Sensors for Smart and Autonomous Vehicles” – the authors can contribute to the development of AVs by publishing Open Access papers related to intelligent sensorial systems for AV (RADAR, LIDAR, cameras, ultrasonic, GPS/GNSS, V2V etc.), fusion algorithms for harvested data by intelligent sensors, object classification techniques and mechanisms, etc. We invite authors interested in the proposed topics to contribute to this Special Issue by publishing their results of research related, but not limited, to the following topics: intelligent sensorial systems for autonomous driving; paradigms, concepts, and architectures for intelligent sensorial systems; real models vs. virtual models for intelligent sensorial systems; sensor integration and fusion for autonomous driving; intelligent proprioceptive and exteroceptive sensors; object classification by intelligent sensors; artificial intelligence algorithms; fog and edge computing for autonomous driving; cybersecurity for intelligent sensorial systems applications based on intelligent sensorial systems; the role of intelligent sensors in V2X communication.
Prof. Dr. István Barabás
Dr. Calin Iclodean
Dr. Máté Zöldy
Manuscript Submission Information
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- intelligent sensors
- optimized sensors
- sensors fusion
- sensor integration
- imaging sensors
- range sensors
- inertial sensors
- autonomous driving
- artificial intelligence
- machine learning
- deep learning
- big data processing
- virtual reality
- cloud computing
- edge computing
- fog computing