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Titel:

Radar-based 2D Car Detection Using Deep Neural Networks

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Maria Dreher; Emec Ercelik; Timo Bänziger; Alois Knoll
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 representat...     »
Kongress- / Buchtitel:
23rd Intelligent Transportation Systems Conference (ITSC 2020)
Jahr:
2020
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