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Träfflista för sökning "L773:9783319318936 OR L773:9783319318950 "

Sökning: L773:9783319318936 OR L773:9783319318950

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1.
  • Kaznov, Viktor, et al. (författare)
  • Architecture and Safety for Autonomous Heavy Vehicles: ARCHER
  • 2017
  • Ingår i: Automated Driving. - Cham : Springer International Publishing. - 9783319318936 - 9783319318950 ; , s. 571-581
  • Bokkapitel (refereegranskat)abstract
    • Machines are converging towards autonomy. The transition is driven by safety, efficiency, environmental and traditional ‘robotics automation concerns’ (dirty, dull and dangerous applications). Similar trends are seen in several domains including heavy vehicles, cars and aircraft. This transition is, however, facing multiple challenges including how to gradually evolve from current architectures to autonomous systems, limitations in legislation and safety standards, test and verification methodology and human–machine interaction.
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2.
  • Behere, Sagar, et al. (författare)
  • Systems Engineering and Architecting for Intelligent Autonomous Systems
  • 2017
  • Ingår i: Automated Driving. - Cham : Springer. - 9783319318950 ; , s. 313-351
  • Bokkapitel (refereegranskat)abstract
    • This chapter provides an overview of architecture and systems engineeringfor autonomous driving system, through a set of complementaryperspectives. For practitioners, a short term perspective uses the state of theart to dene a three layered functional architecture for autonomous driving,consisting of a vehicle platform, a cognitive driving intelligence, and o-board supervisory and monitoring services. The architecture is placed withina broader context of model based systems engineering (MBSE), for which wedene four classes of models: Concept of Operations, Logical Architecture,Application Software Components, and Platform Components. These classesaid an immediate or subsequent MBSE methodology for concrete projects.Also for concrete projects, we propose an implementation setup and technologiesthat combine simulation and implementation for rapid testing of autonomousdriving functionality in physical and virtual environments. Futureevolution of autonomous driving systems is explored with a long term perspectivelooking at stronger concepts of autonomy like machine consciousnessand self-awareness. Contrasting these concepts with current engineering practicesshows that scaling to more complex systems may require incorporatingelements of so-called constructivist architectures. The impact of autonomy onsystems engineering is expected to be mainly around testing and verication,while implementations shall continue experiencing an in ux of technologiesfrom non-automotive domains.
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3.
  • Johansson, Rolf, et al. (författare)
  • Functional Safety and Evolvable Architectures for Autonomy
  • 2016
  • Ingår i: Automated Driving. - Cham : Springer. - 9783319318936 ; , s. 547-560, s. 547-560
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • The presented paper presents the ongoing Swedish national research project FUSE (FUnctional Safety and Evolvable architectures for autonomy). Some of the research questions addressed in this project are summarized. The research questions are related both to functional safety and the E/E architecture of vehicles aimed for higher degrees of automation, including fully autonomous ones.
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  • Resultat 1-3 av 3

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