A low-cost high-resolution LiDAR system with nonrepetitive scanning

W Luo, W Wei - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Obstacle visualization and detection are essential parts of autonomous driving. The
capability of accurately and rapidly collecting 3-D information of the surrounding …

An effective coaxiality measurement for twist drill based on line structured light sensor

A Cheng, J Ye, F Yang, S Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aiming at the accurate and effective coaxiality measurement of twist drills with irregular
surface, an optical measurement mechanism is proposed in this article. First, a high …

[HTML][HTML] Body weight estimation for pigs based on 3d hybrid filter and convolutional neural network

Z Liu, J Hua, H Xue, H Tian, Y Chen, H Liu - Sensors, 2023 - mdpi.com
The measurement of pig weight holds significant importance for producers as it plays a
crucial role in managing pig growth, health, and marketing, thereby facilitating informed …

[HTML][HTML] Mixed reality head mounted displays for enhanced indoor point cloud segmentation with virtual seeds

JC Navares-Vázquez, P Arias, L Díaz-Vilariño… - Resilient Cities and …, 2024 - Elsevier
Abstract Mixed Reality (MR) Head Mounted Displays (HMDs) offer a hitherto underutilized
set of advantages compared to conventional 3D scanners. These benefits, inherent to MR …

[HTML][HTML] A Method for the Automatic Extraction of Support Devices in an Overhead Catenary System Based on MLS Point Clouds

S Zhang, Q Meng, Y Hu, Z Fu, L Chen - Remote Sensing, 2022 - mdpi.com
A mobile laser scanning (MLS) system can acquire railway scene information quickly and
provide a data foundation for regular railway inspections. The location of the catenary …

A lightweight lidar-camera sensing method of obstacles detection and classification for autonomous rail rapid transit

S Liu, C Li, T Yuwen, Z Wan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Detecting obstacles accurately is a vital part of realizing autonomous driving. But utilizing
single sensors, for example, RGB camera or LiDAR itself, is difficult to meet the needs of …

Ship hull surface reconstruction from scattered points cloud using an RBF neural network mapping technology

W Duan, P Zhang, L Huang, K Yang, K Yang - Computers & Structures, 2023 - Elsevier
The ship hull surface reconstruction based on three-dimensional scattered points cloud is
vital to Computer-Aided Design modeling of ship reverse engineering. There are several …

[PDF][PDF] Point Cloud Based Semantic Segmentation Method for Unmanned Shuttle Bus.

S Wu, C Duan, B Ren, L Ren, T Jiang… - … Automation & Soft …, 2023 - cdn.techscience.cn
The complexity of application scenarios and the enormous volume of point cloud data make
it difficult to quickly and effectively segment the scenario only based on the point cloud. In …

[HTML][HTML] The Extraction of Roof Feature Lines of Traditional Chinese Village Buildings Based on UAV Dense Matching Point Clouds

W Zhou, X Fu, Y Deng, J Yan, J Zhou, P Liu - Buildings, 2024 - mdpi.com
Traditional Chinese buildings serve as a carrier for the inheritance of traditional culture and
national characteristics. In the context of rural revitalization, achieving the 3D reconstruction …

[HTML][HTML] Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction

Y Li, G Gong, C Liu, Y Zhao, Y Qi, C Lu, N Li - Remote Sensing, 2024 - mdpi.com
The three-dimensional (3D) reconstruction of buildings using photogrammetric point clouds
is important for many applications, ranging from digital city construction to urban energy …