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Auflistung nach Autor:in "Knoll, Alois"

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  • Zeitschriftenartikel
    Neurorobotics
    (Informatik Spektrum: Vol. 40, No. 2, 2017) Knoll, Alois; Röhrbein, Florian; Kuhn, Alexander; Akl, Mahmoud; Sharma, Kenny
    The field of neurorobotics encompasses the intersection of computational neuroscience and robotics. The TUM-led neurorobotics subproject of the Human Brain Project is actively researching concepts within the field and developing the tools to allow researchers to fully explore simulated robotics driven by computational neuroscience models. Further, the development of biologically inspired, tendon-driven robotics systems provides a unique research platform. These efforts allow researchers to explore the interesting space from computational neuroscience to intelligent robots and back.
  • Textdokument
    Research Challenges for a Future-Proof E/E Architecture - A Project Statement
    (INFORMATIK 2017, 2017) Kugele, Stefan; Cebotari, Vadim; Gleirscher, Mario; Hashemi, Morteza; Segler, Christoph; Shafaei, Sina; Vögel, Hans-Jörg; Bauer, Fridolin; Knoll, Alois; Marmsoler, Diego; Michel, Hans-Ulrich
    During the last decades, the functional power and complexity of automotive E/E architectures grew radically and is going to grow further. We identified two key factors namely autonomy and intelligence. Both pose research challenges for the next generation E/E architecture. We aim to tackle the design challenges with methods and technologies. We propose in this project statement to use a service-oriented architecture on top of an in-vehicle communication network based on time-sensitive networking. Moreover, a rigor risk analysis and mitigation approach enables synthesis of a safety controller. A learning architecture facilitates a shift towards user centralization by proactively adapting functions according to user profiles. In addition, further functions might need to be learned at run-time.
  • Textdokument
    A Survey of Implicit Surface Rendering Methods, and a Proposal for a Common Sampling Framework
    (Visualization of large and unstructured data sets, 2008) Knoll, Alois
    We consider several applications of implicit surfaces in visualization, and methods for rendering them. In particular we focus on geometry processing techniques for mesh extraction; and ray casting methods for direct rendering of implicits. Given that both methods rely on sampling the implicit function in question, we design a soft- ware framework that could accomodate both algorithms. We conclude by evaluating the time complexity and performance of existing systems, and discuss the long-term potential of both methods for rendering and computational goals.
  • Konferenzbeitrag
    Tool support for integrated development of component-based embedded systems
    (Software Engineering 2014, 2014) Kainz, Gerd; Buckl, Christian; Knoll, Alois