GAC-Net: A Geometric-Attention Fusion Network for Sparse Depth Completion from LiDAR and Image.

Saved in:
Bibliographic Details
Title: GAC-Net: A Geometric-Attention Fusion Network for Sparse Depth Completion from LiDAR and Image.
Authors: Gan X; School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China., Zhu K; School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China., Sun M; School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China., Zhao L; School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia., Lai C; School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Sep 04; Vol. 25 (17). Date of Electronic Publication: 2025 Sep 04.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1424-8220
DOI:10.3390/s25175495