ViT-FuseNet: Multimodal Fusion of Vision Transformer for Vehicle-Infrastructure Cooperative Perception-Reference-Cited by-同舟云学术

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ViT-FuseNet: Multimodal Fusion of Vision Transformer for Vehicle-Infrastructure Cooperative Perception

Published:2024 Issue: Volume:12 Page:31640-31651
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhou Yang¹^ORCID,Yang Cai¹^ORCID,Wang Ping¹^ORCID,Wang Chao¹^ORCID,Wang Xinhong¹,Ngoc Van Nguyen²^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Tongji University, Shanghai, China

2. School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam

Funder

Science and Technology Commission of Shanghai Municipality

International Strategic Innovative Project of National Key Research and Development Program of China

Shanghai Automotive Industry S&T Development Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10440607.pdf?arnumber=10440607

Reference35 articles.

1. Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models

2. A Survey of Deep Learning-Based Object Detection

3. Artificial Intelligence for Vehicle-to-Everything: A Survey

4. Where2comm: Communication-efficient collaborative perception via spatial confidence maps;Hu

5. DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

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