3D Object Detection with Fusion of Max-Sum Encoding and Gaussian Filtering-Reference-Cited by-同舟云学术

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3D Object Detection with Fusion of Max-Sum Encoding and Gaussian Filtering

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Transportation Information and Safety (ICTIS)
language:
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Author:

Liu Shengxian¹,Zhou Zhou¹,Zhou Jingmei²,Cheng Xin¹,Zhao Xiangmo¹

Affiliation:

1. Chang’an University,School of Information Engineering,Xi’an,China

2. Chang’an University,School of Electronic and Control,Xi’an,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10243582/10243583/10244001.pdf?arnumber=10244001

Reference28 articles.

1. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space;qi;NIPS,2017

2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation;qi;2017 IEEE Conference on Computer Vision and Pattern Recognition,2016

3. 3DSSD: Point-Based 3D Single Stage Object Detector

4. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud;shi;2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018

5. Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection;deng;ArXiv vol abs/2012 15712,2020

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