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Deep Neural Networks and Data for Automated Driving
Deployment of modern data-driven machine learning methods, most often realized by deep neural networks (DNNs), in safety-critical applications such as health care, industrial plant control, or autonomous driving is highly challenging due to numerous model-inherent shortcomings. These shortcomings are diverse and range from a lack of generalization over insufficient interpretability and impl…
- Edition
- -
- ISBN/ISSN
- 9783031012334
- Collation
- XVIII, 427
- Series Title
- -
- Call Number
- -
Deep Neural Networks and Data for Automated Driving
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 robustne…
- Edition
- 1
- ISBN/ISSN
- 978-3-031-01233-4
- Collation
- -
- Series Title
- -
- Call Number
- XVIII, 427
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