Special Issue "Perception Sensors for Road Applications"
Deadline for manuscript submissions: 1 October 2019.
Dr. Felipe Jimenez
University Institute for Automobile Research (INSIA), Technical University of Madrid. INSIA. Campus Sur UPM. Carretera de Valencia km 7 28031, Madrid (Spain)
Phone: +34 913365317
Fax: +34 913365302
Interests: intelligent transport systems, advanced driver assistance systems, vehicle positioning, GNSS, inertial sensors, digital maps, vehicle dynamics, driver monitoring, vehicle perception, connected vehicles, cooperative services, autonomous vehicles
New assistance systems and the applications of autonomous driving of road vehicles imply ever greater requirements for perception systems in order to increase the robustness of decisions and avoid false positives or false negatives.
In this sense, there are many technologies that can be used, both in the vehicle and infrastructure. In a first case, technologies, such as LiDAR or computer vision, are the basis for growth in automation levels of vehicles, although their actual deployment is also demonstrating the problems that can be found in real scenarios, and that must be solved to continue on the path of improving the safety and efficiency of road traffic.
Usually, given the limitations of each of the technologies, it is common to resort to sensorial fusion, both of the same type sensors and of different types.
Additionally, obtaining data for decision-making does not come from only on-board sensors, but wireless communication with the outside world allow a vehicle to offer a greater electronic horizon. In the same way, positioning in precise and detailed digital maps provides additional information that can be very useful to interpret the environment.
The sensors also cover the driver, in order to analyse their ability to perform tasks safely.
In all areas, it is crucial to study the limitations of each of the solutions and sensors, as well as to establish tools that try to alleviate these issues, either through improvements in hardware or in software. In this sense, the specifications requested of sensors must be established and specific methods must be developed for the validation of said specifications for the sensors and complete systems.
Finally, studies of the state-of-the-art, in relation to the evolution of perception sensors and their impact on the evolution of road transport, are also welcome.
In conclusion, this Special Issue aims to bring together innovative developments in areas related to sensors in vehicles and in infrastructure, including, but not limited to:
- environment perception
- Computer vision
- vehicle dynamics sensors
- driver surveillance
- infrastructure sensors
- new assistance systems based on perception sensors
- Sensor fusion techniques for autonomous systems
- Interaction of autonomous systems and driver
- Decision algorithms for autonomous actions
- Cooperation between autonomous vehicles and infrastructure
- sensors requirements
- state-of-the-art review of perception sensors and technologies
Authors are invited to contact the guest editor prior to submission if they are uncertain whether their work falls within the general scope of this Special Issue.Dr. Felipe Jimenez
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.
- Road vehicles
- Environment perception sensors
- Vehicle surroundings surveillance
- Vehicle dynamics sensors
- Driver assistance systems
- Computer vision
- Sensor fusion
- Infrastructure sensors
- Autonomous vehicles
- Sensor fusion