Semantic segmentation of large-scale point clouds by integrating attention mechanisms and transformer models-Reference-Cited by-同舟云学术

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Semantic segmentation of large-scale point clouds by integrating attention mechanisms and transformer models

Published:2024-06 Issue: Volume:146 Page:105019
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Yuan Tiebiao,Yu Yangyang,Wang Xiaolong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference87 articles.

1. A surface graph based deep learning framework for large-scale urban mesh semantic segmentation;Yang;Int. J. Appl. Earth Obs. Geoinf.,2023

2. Adaptive point cloud acquisition and upsampling for automotive lidar;Jovanov;Appl. Opt.,2023

3. Cost-effective camera localization aided by prior point clouds maps for level 3 autonomous driving vehicles;Leung;Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci.,2023

4. A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles;Zou,2022

5. Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review;Yaodong,2022

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