Training data for autonomous driving

Thursday, April 18, 2019 - 09:30 in Mathematics & Economics

Autonomous cars must perceive their environment true to reality. The corresponding algorithms are trained using a large number of image and video recordings. For the algorithm to recognize single image elements, such as a tree, a pedestrian or a road sign, these are labeled. Labeling is improved and accelerated by understand.ai, a startup established by computer scientist Philip Kessler, who studied at Karlsruhe Institute of Technology (KIT), and his co-founder Marc Mengler.

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