Density-Aware and Semantic-Guided Fusion for 3-D Object Detection Using LiDAR-Camera Sensors-Reference-Cited by-同舟云学术

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Density-Aware and Semantic-Guided Fusion for 3-D Object Detection Using LiDAR-Camera Sensors

Published:2023-09-15 Issue:18 Volume:23 Page:22051-22063
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Jhong Sin-Ye¹^ORCID,Chen Yung-Yao²^ORCID,Hsia Chih-Hsien³,Wang Yu-Quan²,Lai Chin-Feng¹^ORCID

Affiliation:

1. Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan

2. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

3. Department of Computer Science and Information Engineering, National Ilan University, Yilan, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10214508.pdf?arnumber=10214508

Reference50 articles.

1. Multi-view 3D Object Detection Network for Autonomous Driving

2. Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection

3. Multi-view adaptive fusion network for 3D object detection;wang;arXiv 2011 00652,2020

4. Joint 3D Proposal Generation and Object Detection from View Aggregation

5. Frustum PointNets for 3D Object Detection from RGB-D Data

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