Kapak Resmi

Deep Neural Networks and Data for Automated Driving Robustness, Uncertainty Quantification, and Insights Towards Safety

Diğer sürümleri göster (2)

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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Diğer Yazarlar: Fingscheidt, Tim (Editör), Gottschalk, Hanno (Editör), Houben, Sebastian (Editör)
Materyal Türü: Elektronik Kitap Bölümü
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham Springer Nature 2022
Konular:
Automotive technology & trades
Mathematical modelling
Image processing
Databases
Highly Automated Driving
Autonomous Driving
Environment Perception
Deep Learning
Safety
Online Erişim:DOAB: download the publication
DOAB: description of the publication
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

DOAB: download the publication
DOAB: description of the publication

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
Kopya Bilgisi 1 Kütüphanede

Benzer Materyaller