Deep learning detects Low-Speed-Crashes

CAE News |

Deeplearningtecosim

To identify collisions, the engineering company develops algorithms from existing crash simulation data. When analyzing the data, Tecosim applies deep learning technologies - a particularly efficient method of machine learning. IoT Venture GmbH then constructs and markets the associated hardware.

The joint research project is scheduled for two years and is funded by the Central Innovation Program for SMEs (ZIM) of the Federal Ministry for Economic Affairs and Energy. The program aims to sustainably support the innovative strength and competitiveness of companies.

More Information: tecosim.com/presse

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