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Document type:
Konferenzbeitrag 
Author(s):
Maria Dreher; Emec Ercelik; Timo Bänziger; Alois Knoll 
Title:
Radar-based 2D Car Detection Using Deep Neural Networks 
Abstract:
A crucial part of safe navigation of autonomous vehicles is the robust detection of surrounding objects. While there are numerous approaches covering object detection in images and LiDAR point clouds, this paper addresses the problem of object detection in radar data. For this purpose, the fully convolutional network YOLOv3 is adapted to operate on sparse radar point clouds. In order to apply convolutions, the point cloud is transformed into a grid-like structure. The impact of this representa...    »
 
Book / Congress title:
23rd Intelligent Transportation Systems Conference (ITSC 2020) 
Congress (additional information):
accepted 
Year:
2020