3D-CenterNet: 3D object detection network for point clouds with center estimation priority-Reference-Cited by-同舟云学术

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3D-CenterNet: 3D object detection network for point clouds with center estimation priority

Published:2021-07 Issue: Volume:115 Page:107884
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Qi,Chen Jian,Deng Jianqiang,Zhang Xinfang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Multi-view 3D object detection network for autonomous driving;Chen,2017

2. Frustum PointNets for 3D object detection from RGB-D data;Qi,2018

3. PointRCNN: 3D object proposal generation and detection from point cloud;Shi,2019

4. STD: sparse-to-dense 3D object detector for point cloud;Yang,2019

5. PIXOR: real-time 3D object detection from point clouds;Yang,2018

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1. SparseComm: An Efficient Sparse Communication Framework for Vehicle-Infrastructure Cooperative 3D Detection;Pattern Recognition;2025-02

2. Deformation depth decoupling network for point cloud domain adaptation;Neural Networks;2024-12

3. Dense center-direction regression for object counting and localization with point supervision;Pattern Recognition;2024-09

4. NIV-SSD: Neighbor IoU-voting single-stage object detector from point cloud;Neurocomputing;2024-09

5. Cascade fusion of multi-modal and multi-source feature fusion by the attention for three-dimensional object detection;Engineering Applications of Artificial Intelligence;2024-07

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