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Special Issue "Autonomous Vehicles Technology"
Deadline for manuscript submissions: 31 March 2020.
Interests: Intelligent Transportation Systems, Intelligent Vehicles, Electromobility, Vehicular Communications, Autonomous Vehicles
Special Issues and Collections in MDPI journals
Interests: VANETs, Cybersecurity, IA, deep learning, machine learning, Map-reduce techniques, Data Bases, ITS, Cooperative Systems
Interests: Artificial Intelligence, Deep Learning, Genetic Algorithms, Neural Networks, Fuzzy Logic, Driver Behavior
As years go by, self-driving continue to receive high levels of attention, both from academia and industry, not only in terms of components and sensors (e.g. cameras, laser scanners, radars, GPS, etc.), but also in terms of algorithms that use these data to further fine-tune their inferences and predictions. All this with special attention paid to artificial intelligence and big data, present in the vast majority of works.
These technologies cover a wide range of disciplines, from the identification and tracking of elements to the intelligent intervehicular connection, not to mention the optimization of routes, maps, driver behavior, interconnection and communication or traffic safety, among many others.
With this Special Issue we propose to cover the different technologies involved in the area of autonomous vehicles, in order to identify where we stand in terms of complete vehicle autonomy and what the years to come will bring. Thus, the topics of interest include, but are not limited to:
- Advanced driver assistance systems (ADASs)
- Artificial and computational intelligence
- Driver behavior
- Environment perception
- Full and partial automatization
- Sensor fusion techniques
- Simulation techniques for autonomous driving
- Special applications of autonomous vehicles
- State-of-the-art sensors applied to autonomous driving
- Traffic and flow optimization techniques
- Vehicles and infrastructure cooperation
Prof. Dr. Jose Eugenio Naranjo
Dr. Edgar Talavera Muñoz
Dr. Alberto Díaz-Álvarez
Prof. Dr. Cristina Olaverri-Monreal
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Electronics is an international peer-reviewed open access monthly 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 1400 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.
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Could pairs of multi-focal, gaze-controllable ‘Eyes’ be optimal for vehicles too?
Ernst D. Dickmanns
Abstract: Starting from the differences between well-developed eyes in vertebrate biological vision systems and actually observed technical vision systems for vehicles, the question is discussed, whether the predominant solution in biological vision systems, namely pairs of multi-focal, gaze-controllable eyes, could be a useful or even optimal solution for vehicles too. One potential candidate, briefly proposed two years ago, is analyzed in more detail and extended. Increasingly general realizations of these types of systems may take the full 21st century. Such systems are seen as mandatory, if human performance levels in dynamic real-time vision and scene understanding is the goal. The big challenge for systems with the capability of learning will be more on the software side than on the hardware for sensing and computing.