Perceiving Systems MPI Year Book 2019

Colour patch could throw self-driving vehicles off track

Perceiving Systems
  • Doctoral Researcher
Perceiving Systems, Autonomous Vision
  • Doctoral Researcher
Autonomous Vision, Perceiving Systems
Guest Scientist
Perceiving Systems
Emeritus / Acting Director

In our team of researchers at the Max-Planck-Institute for Intelligent Systems in Tübingen we show that optical flow systems based on deep neural networks – a likely component of future autonomous cars – are vulnerable to adversarial attacks. The computer vision experts are shaking up the automotive industry by warning car manufacturers around the globe that it could take a simple color pattern to put the brakes on computer vision systems in autonomous cars. The full article can be read on the website of the Max Planck Society.

Author(s): Anurag Ranjan and Joel Janai and Andreas Geiger and Michael J. Black
Year: 2019
Month: January
Day: 01
BibTeX Type: MPI Year Book (mpi_year_book)
Digital: True
State: Published
URL: https://www.mpg.de/14264965/is_jb_20191?c=119452

BibTeX

@mpi_year_book{MPG_Jahrbuch_2019_2,
  title = {Colour patch could throw self-driving vehicles off track},
  abstract = {In our team of researchers at the Max-Planck-Institute for Intelligent Systems in Tübingen we show that optical flow systems based on deep neural networks – a likely component of future autonomous cars – are vulnerable to adversarial attacks. The computer vision experts are shaking up the automotive industry by warning car manufacturers around the globe that it could take a simple color pattern to put the brakes on computer vision systems in autonomous cars.
  
  The full article can be read on the website of the Max Planck Society.},
  month = jan,
  year = {2019},
  author = {Ranjan, Anurag and Janai, Joel and Geiger, Andreas and Black, Michael J.},
  url = {https://www.mpg.de/14264965/is_jb_20191?c=119452},
  month_numeric = {1}
}