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The BMW Summer School format comprises keynote presentations from executive-level speakers, ideation workshops, technical expert presentations from industry and academia, moderated panel discussions and PhD poster presentations. During moderated PhD challenge group discussions and idea creation workshops, innovative visions and applications, conceptual, sociological and business changes shall be discussed that are to be expected with the rise of fully-connected vehicles in the Internet of Things. The BMW Summer School is complemented by social events in the beautiful area around the venue or a trip to downtown Munich with a visit of BMW Welt & BMW Museum. Awards for the best PhD posters and outstanding proposals from idea creation workshops or challenge group discussions will be presented during the closing ceremony.


Solicited Topics

Mobility is currently dominated by a number of powerful trends. Urbanization and de-carbonization are calling for new concepts. Autonomous driving, electromobility, car sharing, and digital information and communication technologies have begun to fundamentally change the landscape. Beyond sustainability, competition is increasingly focusing on all-encompassing service, maximized use of drive time, digital real-time economy and deep integration within the internet of things. Under the hood, this is providing some exciting and challenging application areas for artificial intelligence. Beyond industrialization of advanced sensor technologies, advances in machine learning and computer vision are behind all but most breakthroughs in autonomous driving. Means to organize personal mobility and intelligently deliver a wealth of digital services along the way are skills to be developed by emerging Intelligent Personal Assistants. And cognitive capabilities are promising to let the robots in our cars interact with humans in a natural, intuitive way. The future of intelligent cars has just begun – help shape it during this exciting summer school.

BMW Group Research and Technology, EURECOM and TUM solicit original, high quality and highly innovative posters (not full papers) from PhD candidates in the following categories:

  • Advanced sensing and intelligent vehicle control
  • Computer vision, complex scene interpretation, motion prediction
  • Connectivity, cognitive cloud and machine learning at the edge
  • Neuromorphic systems
  • Learning strategies for personalisation and intelligent recommendations
  • IoT, the realtime business, intelligent service architecture, and realtime data analytics
  • Multi-Modal Interaction, Natural Language Understanding and Natural Language Generation
  • Realtime Context Interpretation
  • Data Privacy Protection, Privacy by Design, and Privacy Impact Assesment for Intelligent Systems

We are seeking multi-disciplinary interaction, hence are encouraging contributions from a broad number of fields such as software developers, engineers, psychologists, IoT evangelists, urban sociology and culture, urban development, business management / service management, multi-modal mobility, digital transformation experts, AI experts, and futurologists.

Contributions will be as single poster to be presented during the summer school. Submission are required to be full poster submissions. The poster, a 1-page description of your research activities, a letter of motivation, together with a short CV (including list of publications and/or academic achievements) is to be submitted to: Easychair DRIVEME2017.