10.11.15 - 13.11.15, Seminar 15462

The Mobile Revolution – Machine Intelligence for Autonomous Vehicles

Diese Seminarbeschreibung wurde vor dem Seminar auf unseren Webseiten veröffentlicht und bei der Einladung zum Seminar verwendet.

Press Room


Machine intelligence, robotics and computer vision are with us today and have a familiar embodiment --- the modern vehicle. The dream of autonomous vehicles in particular has a surprisingly long history with first prototypical implementations going back to the early 1980s. What started then as a vision of pioneers is actually happening right now --- we are on the verge of a mobile revolution with self-driving vehicles at the core. The tremendous progress made in the last years has been sparked by the increased methodical and technical availability of better sensors, sophisticated algorithms, faster computers and more data.

But, we are not quite there yet. Autonomous systems make extreme demands on system performance, quality, availability, reliability and verification that significantly increase with the rising degree of automation. Such diverse requirements give rise to numerous problems and open questions that are currently addressed in substantial academic and industrial research activities in many fields of computer science and engineering. The time has come to bring together the leading experts from both academia and industry to discuss the state-of-the-art, identify further research directions and refine the overall vision of intelligent autonomous vehicles into a consistent and practicable picture.

The ultimate design goal for autonomous systems is to mimic human behavior in terms of understanding and seamlessly acting within a dynamic human-inhabited environment. Although artificial sensors emulating the human sensory systems are nowadays widely available, current autonomous systems are still far behind humans in terms of understanding and acting in real-world environments. The chief reason is the (theoretical and practical) unavailability of methods to reliably perform perception, recognition, understanding and action on a broad scale, i.e. not limited to isolated problems. In this sense, this seminar aims to stimulate research and discussions on the following topics:

  • Intelligent Robotics: Scene understanding, situation awareness, (inter-)acting in human environments
  • Digital Maps: Self-localization, map generation, map content, interrelation of map and sensory information
  • Human-centered Intelligent Vehicles: Driver monitoring, situation awareness outside and inside the vehicle
  • Verification and Validation: How can reliability, availability, maintainability, trustworthiness and safety of autonomous intelligent vehicles be determined and ensured?
  • Limitations and Perspectives: What is needed to deploy autonomous vehicles on a large scale? This seminar aims to define the state-of-the-art, identify the current problems and issues, and provide a consistent vision on the topic of intelligent autonomous vehicles. It will serve as a communication platform between the various sub-communities involved, by bringing together key persons in industry and academia in their respective fields. Additionally, relations between different disciplines of intelligent transportation systems can be identified and exploited. The seminar allows its participants to bridge the gap between fundamental research and real-world applications by identifying further research directions and initiating interdisciplinary collaborations in the field of multi-sensory environment perception for autonomous cars.

The seminar will take place in parallel to a related seminar entitled "Vision for Autonomous Vehicles and Probes", led by Andres Bruhn, Atsushi Imiya, Ales Leonardis and Tomas Pajdla (November 08-13, 2015) which focuses on machine vision for different kinds of autonomous systems. Given the collective interest of both seminar groups in topics such as map-building, self-localization and the state-of-the-art in autonomous vehicles today, the necessary arrangements will be made to allow joint sessions and discussions between all attendees of both seminars.