Deep Learning Applied to Scenario Classification for Lane-Keep-Assist Systems

Deep Learning Applied to Scenario Classification for Lane-Keep-Assist Systems

Test, verification, and development activities of vehicles with ADAS (Advanced Driver Assistance Systems) and ADF (Automated Driving Functions) generate large amounts of measurement data. To efficiently evaluate and use this data, a generic understanding and classification of the relevant driving sc...

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Bibliographic Details
Main Authors: Halil Beglerovic, Thomas Schloemicher, Steffen Metzner, Martin Horn
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
deep learning
scenario classification
automated driving functions
automated driving functions (ADF)
advanced driver assistance systems (ADAS)
Online Access:https://www.mdpi.com/2076-3417/8/12/2590

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