Research on 3D Point Cloud Object Detection Methods Based on Deep Learning
Author:
Affiliation:
1. JLIN INSTITUTE OF CHEMICAL TECHNOLOGY,School of Information and Control Engineering,Jilin,China
2. BAICHENG NORMAL UNIVERSITY,School of Mechanical and Control Engineering,Baicheng,China
Funder
Natural Science Foundation of Jilin Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10109894/10109897/10109944.pdf?arnumber=10109944
Reference16 articles.
1. 3DSSD: Point-Based 3D Single Stage Object Detector
2. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
3. Structure Aware Single-Stage 3D Object Detection From Point Cloud
4. PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A study on 3D LiDAR-based point cloud object detection using an enhanced PointPillars network;Measurement Science and Technology;2024-07-04
2. SSF: Sparse point cloud object detection based on self-adaptive voxel encoding and focal-sparse convolution;Journal of Intelligent & Fuzzy Systems;2024-04-18
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