TF-CMFA: Robust Multimodal 3D Object Detection for Dynamic Environments Using Temporal Fusion and Cross-Modal Alignment

TF-CMFA: Robust Multimodal 3D Object Detection for Dynamic Environments Using Temporal Fusion and Cross-Modal Alignment

In recent years, multimodal 3D object detection methods have garnered significant attention in autonomous driving systems due to their impressive detection performance. However, most existing research seldom addresses the issues of robustness and performance degradation in dynamic environments due t...

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Bibliographic Details
Main Authors: Yujing Wang, Abdul Hadi Abd Rahman, Fadilla 'Atyka Nor Rashid
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
3D object detection
feature alignment
multimodal
robustness
Online Access:https://ieeexplore.ieee.org/document/10975058/
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https://ieeexplore.ieee.org/document/10975058/

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