A Review of Point Cloud 3D Object Detection Methods Based on Deep Learning

doi:10.1007/978-981-99-8764-1_3

	A Review of Point Cloud 3D Object Detection Methods Based on Deep Learning
	Wang, Xiyuan; Lin, Jie; Yang, Longrui; Wang, Sicong
	2024
会议名称	38th CCF National Conference of Computer Applications, CCF NCCA 2023
会议录名称	Communications in Computer and Information Science
卷号	1959 CCIS
页码	30-39
会议日期	July 16, 2023 - July 20, 2023
会议地点	Suzhou, China
出版者	Springer Science and Business Media Deutschland GmbH
摘要	Based on introducing the coupling relationship between deep learning and three-dimensional point clouds, this paper reviews the three characteristics and research problems of point clouds, randomness, sparsity, and unstructuredness, and discusses three-dimensional point cloud target detection based on deep neural networks, including point cloud detection techniques following graph convolution, detection techniques following the original point cloud, and detection algorithms based on fusion processing of graph convolution and the original point cloud. Focusing on future research direction and development, the field of point cloud analysis is currently undergoing further development through the application of deep learning techniques. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
关键词	Convolutional neural networks - Deep neural networks - Learning systems - Object detection - Object recognition - Semantic Segmentation - Semantics 3D object - 3D point cloud - Coupling relationships - Deep leaning - Object detection method - Point-clouds - Research problems - Semantic segmentation - Targets detection - Three-dimensional point clouds
DOI	10.1007/978-981-99-8764-1_3
收录类别	EI
语种	英语
EI入藏号	20235215288801
EI主题词	Convolution
EI分类号	461.4 Ergonomics and Human Factors Engineering - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 723.4 Artificial Intelligence
ISSN	1865-0929
原始文献类型	Conference article (CA)
EISSN	1865-0937
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/169323
专题	电气工程与信息工程学院
通讯作者	Lin, Jie
作者单位	College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Wang, Xiyuan,Lin, Jie,Yang, Longrui,et al. A Review of Point Cloud 3D Object Detection Methods Based on Deep Learning[C]:Springer Science and Business Media Deutschland GmbH,2024:30-39.