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HEAT as an example for efficient environmental perception for autonomous shuttle systems

  • 2021
  • OriginalPaper
  • Chapter
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Abstract

IAV developed a novel data fusion approach to ensure a comprehensive environmental perception for the autonomous driving in urban environments. The approach is highly scalable, easily adaptable, and sensor independent while processing heterogeneous data. It is based on a dynamic occupancy grid in conjunction with a sophisticated combination of inverse sensor models which are taking the sensor properties into account. The approach has been successfully used within the HEAT project and will be discussed in this context.

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Title
HEAT as an example for efficient environmental perception for autonomous shuttle systems
Authors
Philipp Materne
Christoph Hartwig
Ulrike Peters
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-658-34754-3_1
    Image Credits
    AVL List GmbH/© AVL List GmbH, dSpace, BorgWarner, Smalley, FEV, Xometry Europe GmbH/© Xometry Europe GmbH, The MathWorks Deutschland GmbH/© The MathWorks Deutschland GmbH, IPG Automotive GmbH/© IPG Automotive GmbH, HORIBA/© HORIBA, Outokumpu/© Outokumpu, Hioko/© Hioko, Head acoustics GmbH/© Head acoustics GmbH, Gentex GmbH/© Gentex GmbH, Ansys, Yokogawa GmbH/© Yokogawa GmbH, Softing Automotive Electronics GmbH/© Softing Automotive Electronics GmbH, measX GmbH & Co. KG