Deep Neural Networks and Data for Automated Driving
Jeonghoon Mo
Broschiertes Buch

Deep Neural Networks and Data for Automated Driving

Robustness, Uncertainty Quantification, and Insights Towards Safety

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This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks...