Wen Xiao

Lecturer

Newcastle University

United Kingdom

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About

Wen Xiao is a Lecturer at Newcastle University in the United Kingdom. His research areas encompass LiDAR technology, remote sensing, and spatial perception, as evidenced by his recent publications on adaptive ground constraints, slope hazard assessment, and 3-D object detection from point clouds. His work integrates advanced algorithms for environmental monitoring and urban change detection, contributing to the fields of geospatial analysis and environmental science.

Articles (18)

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2025

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2022

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2020

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2020

Collaborators (2)

Maria‐Valasia Peppa

UNITED KINGDOM

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Jon Mills

Newcastle University

UNITED KINGDOM

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Wen Xiao

Research Interests

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About

Articles (18)

LIO-GC: LiDAR Inertial Odometry with Adaptive Ground Constraints

Monitoring and Assessment of Slope Hazards Susceptibility Around Sarez Lake in the Pamir by Integrating Small Baseline Subset InSAR with an Improved SVM Algorithm

Real-Time Roadside 3-D Spatial Perception With LiDAR AIoT: An Edge-Cloud–Terminal Collaborative Sensing Prototype

MMCANet A Multimodal and Cross-Attention Network for Cloud Removal and Exploration of Progressive Remote Sensing Images Restoration Algorithm

Supervoxel-Based Instance Segmentation of Pole-Like Facilities From Mobile Laser Scanning Data Using Pyramid Cascaded Fisher Vector Modeling

Cross-temporal and spatial information fusion for multi-task building change detection using multi-temporal optical imagery

Impact of Land Use/Land Cover Changes on Urban Flooding: A Case Study of the Greater Bay Area, China

PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds

Using spatiotemporal stacks for precise vehicle tracking from roadside 3D LiDAR data

3D urban object change detection from aerial and terrestrial point clouds: A review

Impacts of Agricultural Soil NOx Emissions on O3 Over Mainland China

Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High‐Resolution: Spatio‐Temporal Patterns and Impacts

Geo-Enabled Sustainable Municipal Energy Planning for Comprehensive Accessibility: A Case in the New Federal Context of Nepal

Optimizing Moving Object Trajectories from Roadside Lidar Data by Joint Detection and Tracking

A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation

Towards an End-to-End Framework of CCTV-Based Urban Traffic Volume Detection and Prediction

UAV-Based Photogrammetry and LiDAR for the Characterization of Ice Morphology Evolution

Vehicle Tracking and Speed Estimation From Roadside Lidar

Collaborators (2)

Maria‐Valasia Peppa

Jon Mills

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