Automatic on-road object detection in LiDAR-point cloud data using modified VoxelNet architecture

Bicanet: Lidar point cloud classification network based on coordinate attention and blueprint separation involution neural network

G Zhang, H Ye, X Gao, R Liu, X Tao… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
With the advent of the era of Industry 4.0 and the continuous development of point cloud
data acquisition technology, point cloud data have been widely used in the unmanned …
被引用次数：3 相关文章 所有 2 个版本

Point Cloud Registration Based on Global and Local Feature Fusion

W Ma, M Yue, Y Yuan, Y Wu, H Zhu, L Jiao - International Conference on …, 2022 - Springer
Global feature extraction and rigid body transformation estimation are two key steps in
correspondences-free point cloud registration methods. Previous approaches only utilize the …
被引用次数：1 相关文章 所有 2 个版本

基于二值神经网络的大场景点云分类

章国道， 刘儒瑜， 张志勇， 孔德伟… - … of Optoelectronics· Laser, 2022 - opticsjournal.net
摘要近年随着3 维数据采集技术不断发展, 大场景点云数据的获取越来越方便.
目前深度学习网络框架在2 维图像处理领域越来越成熟, 而大场景点云是一种3 …
相关文章 所有 2 个版本