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 testi...
Sábháilte in:
| Formáid: | Online |
|---|---|
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Springer Nature
2022
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20220713_9783031012334_46 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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Míreanna comhchosúla: Deep Neural Networks and Data for Automated Driving
- Advances in Automated Driving Systems
- Product Development within Artificial Intelligence, Ethics and Legal Risk
- Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles II
- Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
- Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles
- Continuous Verification and Safe Localization in Semantic High Definition Maps for Automated Driving