[HTML][HTML] Digital Twin Technology in Built Environment: A Review of Applications, Capabilities and Challenges
Highlights What are the main findings? Digital Twin (DT) technology significantly enhances
lifecycle energy optimisation and operational efficiency in the AEC industries. DTs enable …
lifecycle energy optimisation and operational efficiency in the AEC industries. DTs enable …
[HTML][HTML] Application of LiDAR sensors for crop and working environment recognition in agriculture: A review
LiDAR sensors have great potential for enabling crop recognition (eg, plant height, canopy
area, plant spacing, and intra-row spacing measurements) and the recognition of …
area, plant spacing, and intra-row spacing measurements) and the recognition of …
Radar timing range–doppler spectral target detection based on attention ConvLSTM in traffic scenes
F Jia, J Tan, X Lu, J Qian - Remote Sensing, 2023 - mdpi.com
With the development of autonomous driving and the emergence of various intelligent traffic
scenarios, object detection technology based on deep learning is more and more widely …
scenarios, object detection technology based on deep learning is more and more widely …
3D modeling and visualization of single tree Lidar point cloud using matrixial form
Tree modeling and visualization still represent a challenge in the light detecting and ranging
area. Starting from the segmented tree point clouds, this article presents an innovative tree …
area. Starting from the segmented tree point clouds, this article presents an innovative tree …
[HTML][HTML] Contribution of geometric feature analysis for deep learning classification algorithms of urban LiDAR data
The use of a Machine Learning (ML) classification algorithm to classify airborne urban Light
Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain …
Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain …
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
ABSTRACT Three-dimensional (3D) reconstruction of a building can be facilitated by
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …
correctly segmenting different feature points (eg in the form of boundary, fold edge, and …
An Efficient Adaptive Noise Removal Filter on Range Images for LiDAR Point Clouds
MH Le, CH Cheng, DG Liu - Electronics, 2023 - mdpi.com
Light Detection and Ranging (LiDAR) is a critical sensor for autonomous vehicle systems,
providing high-resolution distance measurements in real-time. However, adverse weather …
providing high-resolution distance measurements in real-time. However, adverse weather …
[HTML][HTML] Three-dimensional reconstruction of zebra crossings in vehicle-mounted LiDAR point clouds
Z Zhao, S Gan, B ** (SLAM) scanner is an easy and portable Light
Detection and Ranging (LiDAR) data acquisition device. Its main output is a 3D point cloud …
Detection and Ranging (LiDAR) data acquisition device. Its main output is a 3D point cloud …
3D LiDAR multi-object tracking with short-term and long-term multi-level associations
M Cho, E Kim - Remote Sensing, 2023 - mdpi.com
LiDAR-based Multi-Object Tracking (MOT) is a critical technology employed in various
autonomous systems, including self-driving vehicles and autonomous delivery robots. In this …
autonomous systems, including self-driving vehicles and autonomous delivery robots. In this …