Toward Robust LiDAR-Camera Fusion in BEV Space via Mutual Deformable Attention and Temporal Aggregation

LiDAR and camera are two critical sensors that can provide complementary information for accurate 3D object detection. Most works are devoted to improving the detection performance of fusion models on the clean and well-collected datasets. However, the collected point clouds and images in real scena...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 34; no. 7; pp. 5753 - 5764
Main Authors:	Wang, Jian, Li, Fan, An, Yi, Zhang, Xuchong, Sun, Hongbin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	3D object detection Cameras Datasets Detection algorithms Effectiveness Feature extraction Formability Laser radar Lidar LiDAR-camera fusion Malfunctions model robustness Object detection Object recognition Robustness Sensors Three-dimensional displays
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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