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Cookie akzeptieren![Azar, Ahmad Taher / Anis Koubaa (Hrsg.). Deep Learning for Unmanned Systems. Springer International Publishing, 2021.](https://eichendorff21.de/cdata/NtWaB1vuztyC0Hr8-0vInmKR3AY=/300x0/9783030779382.png)
Deep Learning for Unmanned Systems
- Springer International Publishing
- 2021
- Gebunden
- 740 Seiten
- ISBN 9783030779382
This book is used at the graduate or advanced undergraduate level and many others. Manned and unmanned ground, aerial and marine vehicles enable many promising and revolutionary civilian and military applications that will change our life in the near future. These applications include, but are not limited to, surveillance, search and rescue, environment monitoring, infrastructure monitoring, self-driving cars, contactless last-mile delivery vehicles, autonomous ships, precision agriculture and transmission line inspection to name just a few. These vehicles will benefit from advances of deep learning as a subfield of machine learning able to endow these vehicles with different capability such as perception, situation awareness, planning and intelligent
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