Journal article
TFIENet: Transformer Fusion Information Enhancement Network for Multimodel 3-D Object Detection
Abstract
During feature-level data fusion in 3-D object detection, the correlation between different modal data is destroyed by the misalignment problem, which leads to inaccurate localization of small targets at long distances. For the problem, a transformer fusion information enhancement network (TFIENet) is proposed. First, the original point cloud and color images are taken as input. Besides, the standard backbone network of feature extraction is …
Authors
Cao F; Jin Y; Tao C; Luo X; Gao Z; Zhang Z; Zheng S; Zhu Y
Journal
IEEE Transactions on Instrumentation and Measurement, Vol. 73, , pp. 1–13
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2024
DOI
10.1109/tim.2024.3451586
ISSN
0018-9456