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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.
@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} }
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