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Document type:
Konferenzbeitrag 
Author(s):
Nobis, Felix; Geisslinger, Maximilian; Weber, Markus; Betz, Johannes; Lienkamp, Markus 
Title:
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection 
Abstract:
Object detection in camera images, using deep learning has been proven successfully in recent years. Rising detection rates and computationally efficient network structures are pushing this technique towards application in production vehicles. Nevertheless, the sensor quality of the camera is limited in severe weather conditions and through increased sensor noise in sparsely lit areas and at night. Our approach enhances current 2D object detection networks by fusing camera data and projected spa...    »
 
Keywords:
FTM Fahrdynamik 
Book / Congress title:
2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF) 
Publisher:
IEEE 
Date of publication:
01.10.2019 
Year:
2019 
Covered by:
Scopus 
Print-ISBN:
9781728150857 
Fulltext / DOI:
TUM Institution:
Lehrstuhl für Fahrzeugtechnik