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, Volume 121, Issue 4, pp 16–21 | Cite as

Validation of Automated Driving Functions Using Vehicle and Infrastructure Data

  • Christian Payerl
  • Daniel Schmidt
  • Peter Hrassnig
  • Stefan Bernsteiner
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The growing complexity and increasing quality requirements for vehicles pose new challenges to the process of validating driving functions. Magna presents a method to evaluate traffic sign recognition using synchronized vehicle and infrastructure data at complete-vehicle level.

Introduction

In recent years, the automotive industry has achieved important progress in the development of automated driving functions. The increasing degree of automation, defined for example by the Society of Automotive Engineers (SAE) [1], also requires a higher validation quality of such systems. Supposedly simple systems such as Traffic Sign Recognition (TSR) present engineers with a significant challenge.

Current TSR systems are based on data from the front camera [2] or on fused data from the front camera and the navigation system [3]. The information acquired is presented to the driver in the instrument cluster. Figure 1illustrates a frequently occurring error. The driver is shown a speed limit of 50...

Notes

Thanks

The presented study is funded by the Austrian Federal Ministry of Transport, Innovation and Technology as part of the FFG "Mobility of the Future" program.

Copyright information

© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019

Authors and Affiliations

  • Christian Payerl
    • 1
  • Daniel Schmidt
    • 2
  • Peter Hrassnig
    • 3
  • Stefan Bernsteiner
    • 4
  1. 1.Magna SteyGrazÖsterreich
  2. 2.Magna SteyrBöblingenGermany
  3. 3.AsfinagKlagenfurtÖsterreich
  4. 4.Magna SteyrGrazÖsterreich

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