A Research on Advanced Technology of Target Detection in Unmanned Driving

Unmanned driving leads the development of smart cities and safe transportation. It relies on a large amount of complex data generated during driving. This paper reviews the state-of-the-art research status of data collection and analysis techniques. We divide the data required for unmanned driving i...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-09, Vol.2010 (1), p.12158
Main Authors: Wang, Bosi, Wang, Renjie, Tang, Bin, Cai, Linfeng, Zhong, Nianbing, Zhao, Mingfu, Long, Zourong
Format: Article
Language:English
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Summary:Unmanned driving leads the development of smart cities and safe transportation. It relies on a large amount of complex data generated during driving. This paper reviews the state-of-the-art research status of data collection and analysis techniques. We divide the data required for unmanned driving into two types: traffic scene data and driving behavior data. Firstly, by fully considering the different needs of enterprises, universities and related institutions, we have fully studied the algorithms proposed by scholars all over the world. Then we introduce mainstream 2D and 3D target detection algorithms based on RGBD and laser point clouds. Finally, the article introduces some of the most widely used urban road data sets.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2010/1/012158