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Color patch could throw self-driving vehicles off track
Von links nach rechts: Anurag Ranjan, Michael J. Black, Andreas Geiger and Joel Janai. Copyright: MPI-IS / W. Scheible

Color patch could throw self-driving vehicles off track

Researchers send wake-up call to the car industry

A team of researchers in Tübingen 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.

Autonomous Cars Deep Neural Networks Computer Vision


ps Anurag Ranjan
Anurag Ranjan
avg ps Joel Janai
Joel Janai
avg ps Andreas Geiger
Andreas Geiger
Professor, University of Tübingen <br/ >Max Planck Research Group Leader
ps Michael Black
Michael Black
sg Linda Behringer
Linda Behringer
Public Relations Officer