RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications-Reference-Cited by-同舟云学术

RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 IEEE 24th International Conference on Information Fusion (FUSION)
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Author:

Schumann Ole,Hahn Markus,Scheiner Nicolas,Weishaupt Fabio,Tilly Julius F.,Dickmann Jurgen,Wohler Christian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626828/9626830/09627037.pdf?arnumber=9627037

Reference28 articles.

1. Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?

2. CNN based Road User Detection using the 3D Radar Cube CNN based Road User Detection using the 3D Radar Cube;palffy;IEEE l of Robotics and Automation,2020

3. New Challenges for Deep Neural Networks in Automotive Radar Perception – An Overview of Current Research Trends;scheiner;Fahrerassistenzsysteme 2020,2021

4. RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications

5. The Cityscapes Dataset for Semantic Urban Scene Understanding

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