3D Fully Convolutional Network for Vehicle Detection in Point Cloud

被引：0
|
作者：
Li, Bo [1 ]
机构：
[1] Trunk Inc, Chicago, IL 60654 USA
来源：
2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
2D fully convolutional network has been recently successfully applied to the object detection problem on images. In this paper, we extend the fully convolutional network based detection techniques to 3D and apply it to point cloud data. The proposed approach is verified on the task of vehicle detection from lidar point cloud for autonomous driving. Experiments on the KITTI dataset shows significant performance improvement over the previous point cloud based detection approaches.
引用
收藏
页码：1513 / 1518
页数：6
相关论文
共 50 条
  • [1] Vehicle Detection from 3D Lidar Using Fully Convolutional Network
    Li, Bo
    Zhang, Tianlei
    Xia, Tian
    ROBOTICS: SCIENCE AND SYSTEMS XII, 2016,
  • [2] Rotation Aware 3D Point Cloud Vehicle Detection
    Feng, Hongchao
    He, Yunqian
    Xia, Guihua
    IMAGE AND GRAPHICS (ICIG 2021), PT III, 2021, 12890 : 83 - 93
  • [3] 3D Point Cloud Object Detection with Multi-View Convolutional Neural Network
    Pang, Guan
    Neumann, Ulrich
    2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 585 - 590
  • [4] Octant Convolutional Neural Network for 3D Point Cloud Analysis
    Xu X.
    Shuai H.
    Liu Q.-S.
    Zidonghua Xuebao/Acta Automatica Sinica, 2021, 47 (12): : 2791 - 2800
  • [5] Interpolation graph convolutional network for 3D point cloud analysis
    Liu, Yao
    Yao, Lina
    Li, Binghao
    Sammut, Claude
    Chang, Xiaojun
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 37 (12) : 12283 - 12304
  • [6] RFNet: Convolutional Neural Network for 3D Point Cloud Classification
    Shan X.-Y.
    Sun Z.-L.
    Zeng Z.-G.
    Zidonghua Xuebao/Acta Automatica Sinica, 2023, 49 (11): : 2350 - 2359
  • [7] Point Cloud Labeling using 3D Convolutional Neural Network
    Huang, Jing
    You, Suya
    2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 2670 - 2675
  • [8] Affinity-Point Graph Convolutional Network for 3D Point Cloud Analysis
    Wang, Yang
    Xiao, Shunping
    APPLIED SCIENCES-BASEL, 2022, 12 (11):
  • [9] Nuclei Detection for 3D Microscopy With a Fully Convolutional Regression Network
    Lapierre-Landry, Maryse
    Liu, Zexuan
    Ling, Shan
    Bayat, Mahdi
    Wilson, David L.
    Jenkins, Michael W.
    IEEE ACCESS, 2021, 9 : 60396 - 60408
  • [10] Convolutional Neural Network for 3D Point Cloud Quality Assessment with Reference
    Chetouani, Aladine
    Quach, Maurice
    Valenzise, Giuseppe
    Dufaux, Frederic
    IEEE MMSP 2021: 2021 IEEE 23RD INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2021,
12345