Workshop on Automated Vehicles

Location

  • Date and timing: June 12th, 2017, 09:30h - 12:30h
  • Local: Room A5.4 (Tower A, 5th floor), Departamento de Engenharia Informática, Polo 2 – UC, Coimbra


Registration for the workshop is free and limited (register here)

Contact: wav2017@dei.uc.pt

Building caption:

  • 1 - Workshop location (5th floor, tower A)
  • 2A - Main bulding entrance (1st floor)
  • 2B - Secondary building entrance (6th floor)

Program

  • 9h30-09h45 Welcome
  • 09h45-10h45 Invited talks
    • Bart van Arem (TUDelft): Automated Driving: Taking the Dream to Reality
    • Assaf Biderman (MIT Senseable City Lab): Human Enhancing Technologies in Transportation
    • Gonçalo Correia (TUDelft): Mobility impacts of automated vehicles: what we know and what we are guessing about the future
  • 10h45-11h15 Coffee break
  • 11h15-11h30 Conceição Magalhães (BRISA): Data ownership, privacy and security as obstacles to AV’s adoption
  • 11h30-11h45 Jorge Saraiva (TULA Group): Self-Driving private Cars Can’t Cure Traffic, but Autonomous Public transport Can
  • 11h45-12h15 AV Q&A session and research avenues
  • 12h15-12h30 Closing remarks

Description

Having been at the forefront of research and development in Electric Vehicles (EV) and Smart Grids, it is noticeable that Portugal does not present the same indicators’ performance in Automated Vehicles (AV) research. Therefore, being one of the top research university in the Country, the Centre for Informatics and Systems of the University of Coimbra (CISUC), with the support of the Delft University of Technology (TU Delf), is organizing a workshop dedicated to this important topic, putting together a program that joins key international and national key-note speakers to spark national interest in AVs. With this event we want to attract the research and entrepreneurial community in the fields of (including but not limited to) Machine Learning, Transport Modelling, Data Analysis and Urban Sensing for a productive discussion of the challenges that lie ahead in which Portugal could play an important role.

Data collected via ubiquitous devices, smart metering and from social media platforms provide a range of new close-to-real-time information that can be combined with the data from more traditional sources to extract the most significant mobility patterns, such as users’ transportation needs, interests, habits, and their interrelated spatial distribution throughout the urban space. One can use these mobility profiles to simulate the process of an AV pooling system. An AV is one capable of imitating human capacities of handling and control, of perceiving the environment around it and acting accordingly. It is equipped with advanced control systems that interpret a large amount of information to identify the appropriate route as well as obstacles and relevant signalling. In the end, we aim at providing a set of AV pooling solutions that fit the current users’ demand for transportation and, moreover, is able to enrich their mobility experience.

The morning will be dedicated to the theme of Autonomous Vehicles. In the afternoon we will present and discuss the progress of the FCT’ funded project URBY.SENSE.

The workshop will have the presence of key international speakers, researchers and OEM manufactures’ representatives. We would like to invite you to share your ideas, experience and research interests in the areas, effectively helping to spark the interest in AVs and Urban Sensing in Portugal.

The WAV2017 Workshop is set up in the framework of the URBY.SENSE project - Urban mobility analysis and prediction for non-routine scenarios using digital footprints (PTDC/ECM-TRA/6803/2014). The morning of the workshop day will be dedicated to the theme of Autonomous Vehicles. In the afternoon, we will present and discuss the progress of the URBY.SENSE.

Invited Speakers' Presentations


BartVanArem_WAV2017-Automated Driving.pdf

Organization

Carlos Bento, DEI-FCTUC/CISUC (bento@dei.uc.pt)

Gonçalo Correia, TUDelft (G.Correia@tudelft.nl)

Rui Gomes, DEI-FCTUC/CISUC (ruig@dei.uc.pt)

Support by