3D Point Cloud Classification for Autonomous Driving via Dense-Residual Fusion Network-Reference-Cited by-同舟云学术

3D Point Cloud Classification for Autonomous Driving via Dense-Residual Fusion Network

Published:2020 Issue: Volume:8 Page:163775-163783
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chiang Chung-Hsin^ORCID,Kuo Chih-Hung^ORCID,Lin Chien-Chou^ORCID,Chiang Hsin-Te

Funder

Ministry of Science and Technology of Taiwan

National Cheng Kung University and Qualcomm Collaborating Research

Ministry of Education of the Republic of China (Taiwan) under the Teaching Innovation Project on an Issue-Oriented Approach to Narrative Competence Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09184791.pdf?arnumber=9184791

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2. Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving;ACM Transactions on Intelligent Systems and Technology;2024-04-15

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5. 3D Object Recognition Based on Point Cloud Geometry Construction and Embeddable Attention;Lecture Notes in Computer Science;2023