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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:
doi:10.1109/sdf.2019.8916629
TUM Institution:
Lehrstuhl für Fahrzeugtechnik
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