on UNmanned aerial vehicle Applications in the Smart City:
from Guidance technology to enhanced system Interaction

Kyoto, March 11-15

ANNOUNCEMENT: Deadline extended: 30 Nov. 2018.
Authors of selected papers will be invited to submit extended versions to a Theme Issue in Personal Ubiquitous Computing Journal.

Background and Motivation

Unmanned Aerial Vehicles-based applications and services in the city are no more a remote possibility, but a short-term and broad-scope economic and social opportunity. Emergency-response coordination, public or private urban infrastructures monitoring, crowds and traffic flow control, logistics or support to intelligent transportation systems are some of the domains in which UAV may become key in the city of the future. Additionally, these aerial platforms will become an important element of the urban sensing network, thus it does exist a need of merging their information with the flow coming from traditional sensors through existing platforms.

Apart from the legislative steps forward, to make these operating scenarios feasible it is essential to ensure the efficient and safe operation of UAV fleets within a restrictive and complex operating area. It is also needed to enable the accurate acquisition, secure transmission and correct interpretation of drone-retrieved information, with the objective of guaranteeing the success of the mission. This second aspect, which considers the integration and exploitation of the mission information in the framework of smart city data and infrastructures, becomes critical to put new applications and business modes into operation.

The workshop is colocated with PERCOM 2019, the 17th International Conference on Pervasive Computing and Communications, to be held in Kyoto (Japan) from March 11 to 15, 2019.

Workshop objectives and topics

UNAGI workshop aims at gathering advances and reflecting on pending issues to bring drones to the smart city. In this context, the workshop welcomes contributions considering, for example:

  • Concepts and technologies to design, develop and validate UTM (unmanned traffic management) platforms in urban areas, including their components, such as elements of trajectory optimization and synchronization, autonomous navigation and mechanism to guarantee flight safety (Sense & Avoid).
  • Information fusion architectures for acquisition, visualization and overall interpretation of city data, with a special focus on the integration and use of UAV sensor information as part of already existing Internet of Things cloud platforms.
  • Integration of UAV and future communication networks, such as 5G.
  • Issues on real-time video recognition, anomaly detection, adaptive video streaming and other challenges related to video sensing in UAV.
  • Visualization and management of big information flows through novel multimodal interaction concepts, including Augmented/Virtual Reality uses. Novel interaction means for drone & drone fleet management and control.
  • Advances on enabling technologies to provide support to UTM and drone-based applications. These technologies include, among others: Artificial Intelligence, Machine Learning, Machine Vision, Context-based Fusion and Multimodal Interaction Techniques.
  • Demonstrations and evaluations of novel services and applications of UAV as urban sensor and robot platforms (e.g. for emergency support, resource monitoring, logistics and distribution, etc.), through simulations and tests with real flights.
  • Analysis of privacy, security and other legal issues generated by the presence of UAV in urban areas.
  • Models to evaluate flight efficiency and fleet drone management from the business viewpoint.
  • Pervasive citizen applications based on drone information.

Authors of selected papers will be invited to submit extended versions to a Theme Issue in Personal Ubiquitous Computing Journal.

The Call for Papers is available for download here.

  • Submission Guidelines

    The submitted papers should be in the IEEE conference format guidelines and should be no more than 6 pages in length. The paper should not be previously published or currently under review elsewhere. Papers must be submitted through EDAS.

    All submissions will be peer-reviewed and selected based on their originality, merit, and relevance to the workshop. In some cases, the Program Committee may decide to conditionally accept a paper to allow the authors to update their submission based on the committee's feedback. Accepted papers will be published in the IEEE Digital Library, in the combined PerCom 2019 workshops proceedings.

    At least one author of each accepted paper must register and attend the workshop to present the paper. No-shows of accepted workshop papers will result in the corresponding papers not being published via the IEEE Digital Library.

  • Important dates

    November 30, 2018: Workshop papers deadline (extended)

    December 22, 2018: Notification

    TBA, 2019: Camera-ready workshop papers

    TBA, March 2019 (11-15): Workshop day

Organising Committee

  • Ana M. Bernardos

    Information Processing and Telecommunications Center, U. Politécnica de Madrid, Spain.

    Jesús García Herrero

    Applied Artificial Intelligence Group, Universidad Carlos III de Madrid, Spain.

    Hideo Saito

    Keio University, Yokohama, Japan.

    Patrizia Marti

    University of Siena, Italy.

Programme Committee

José R. Casar, UPM, Spain.
Peter Hecker, Technische Universität Braunschweig, Germany.
James Llinas, University of Buffalo, USA.
Fulvio Corno, POLITO, Italy.
Maki Sugimoto, Keio University, Japan.
Lauro Snidaro, University of Udine, Italy.
Juan A. Besada, UPM, Spain.
José M. Molina, UC3M, Spain.
Andrés Soto, Eurocontrol, Belgium.
Luca Bergesio, UPM, Spain.
Nayat Sánchez-Pi, Universidade do Estado do Rio de Janeiro, Brazil.
David Martín Gómez, Universidad Carlos III, Spain.
Daniel Arias Medina, DLR, Germany.
Juan Gómez Romero, Universidad de Granada, Spain.
Luis Martí, Universidade Federal Fluminense, Brazil.
Yuta Sugiura, Keio University, Japan.

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