State-of-the-art: DTM generation using airborne LIDAR data

Z Chen, B Gao, B Devereux - Sensors, 2017 - mdpi.com
Digital terrain model (DTM) generation is the fundamental application of airborne Lidar data.
In past decades, a large body of studies has been conducted to present and experiment a …

Airborne LiDAR: state-of-the-art of system design, technology and application

X Li, C Liu, Z Wang, X Xie, D Li… - Measurement Science and …, 2020 - iopscience.iop.org
In the last two decades, airborne LiDAR, as an active remote sensing technique, has
emerged as one of the most effective and reliable means of 3D point clouds collection. This …

Contextual classification of lidar data and building object detection in urban areas

J Niemeyer, F Rottensteiner, U Soergel - ISPRS journal of photogrammetry …, 2014 - Elsevier
In this work we address the task of the contextual classification of an airborne LiDAR point
cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random …

Segmentation based classification of 3D urban point clouds: A super-voxel based approach with evaluation

AK Aijazi, P Checchin, L Trassoudaine - Remote Sensing, 2013 - mdpi.com
Segmentation and classification of urban range data into different object classes have
several challenges due to certain properties of the data, such as density variation …

Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM) generation

J Susaki - Remote Sensing, 2012 - mdpi.com
A filtering algorithm is proposed that accurately extracts ground data from airborne light
detection and ranging (LiDAR) measurements and generates an estimated digital terrain …

Deep learning for filtering the ground from ALS point clouds: A dataset, evaluations and issues

N Qin, W Tan, L Ma, D Zhang, H Guan, J Li - ISPRS Journal of …, 2023 - Elsevier
The capability of partially penetrating vegetation canopy and efficiently collecting high-
precision point clouds over large areas makes airborne laser scanning (ALS) a valuable tool …

A slope-robust cascaded ground segmentation in 3D point cloud for autonomous vehicles

P Narksri, E Takeuchi, Y Ninomiya… - 2018 21st …, 2018 - ieeexplore.ieee.org
In this paper, a slope-robust cascaded ground segmentation in 3D point cloud for
autonomous vehicles is presented. In many challenging terrains encountered by …

A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables

J García-Gutiérrez, F Martínez-Álvarez, A Troncoso… - Neurocomputing, 2015 - Elsevier
Abstract Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-
dimensional information. Environmental models in forest areas have been benefited by the …

[PDF][PDF] 三维激光雷达在无人车环境感知中的应用研究

张银, 任国全, 程子阳, 孔国杰 - Laser & Optoelectronics …, 2019 - researching.cn
摘要环境感知是无人驾驶的核心技术之一, 而利用三维激光雷达进行障碍物检测一直是国内外的
研究热点. 本文首先按照传感器的种类介绍了无人车障碍物检测方法的分类 …

[HTML][HTML] Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey

N Qin, W Tan, H Guan, L Wang, L Ma, P Tao… - International Journal of …, 2023 - Elsevier
With the fast development of 3D data acquisition techniques, topographic point clouds have
become easier to acquire and have promoted many geospatial applications. Ground filtering …