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List of works by Wei Yao

3D object-based classification for vehicle extraction from airborne LiDAR data by combining point shape information with spatial edge

A Classification-Lock Tracking Strategy Allowing a Person-Following Robot to Operate in a Complicated Indoor Environment

A voting-based statistical cylinder detection framework applied to fallen tree mapping in terrestrial laser scanning point clouds

AUTOMATED COARSE REGISTRATION OF POINT CLOUDS IN 3D URBAN SCENES USING VOXEL BASED PLANE CONSTRAINT

Airborne analysis and assessment of urban traffic scenes from LiDAR data — Theory and experiments

Airborne traffic monitoring in large areas using LiDAR data – theory and experiments

Automatic Estimation of Vehicle Activity from Airborne Thermal Infrared Video of Urban Areas by Trajectory Classification

Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology

Automatic vehicle extraction from airborne LiDAR data of urban areas using morphological reconstruction

Building boundary improvement for true orthophoto generation by fusing airborne LiDAR data

scholarly article published April 2011

Comparison of Two Methods for Vehicle Extraction From Airborne LiDAR Data Toward Motion Analysis

DETECTION OF SINGLE TREE STEMS IN FORESTED AREAS FROM HIGH DENSITY ALS POINT CLOUDS USING 3D SHAPE DESCRIPTORS

Estimation of regeneration coverage in a temperate forest by 3D segmentation using airborne laser scanning data

Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis

Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data

Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds

article by Przemyslaw Polewski et al published June 2018 in ISPRS Journal of Photogrammetry and Remote Sensing

Mutual Enhancement of Weak Laser Pulses for Point Cloud Enrichment Based on Full-Waveform Analysis

Object extraction based on 3D-segmentation of LiDAR data by combining mean shift with normalized cuts: Two examples from urban areas

Unsupervised Segmentation of Point Clouds From Buildings Using Hierarchical Clustering Based on Gestalt Principles

scholarly article by Yusheng Xu et al published November 2018 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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