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Façade Separation in Ground-Based LiDAR Point Clouds Based on Edges and Windows
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Extraction of individual façades from building point clouds collected by ground-based LiDAR is vital for urban mapping and modeling. It is a challenging task due to the complexity of façades, and very few studies have been conducted....

Analysis of Airborne LiDAR Point Clouds With Spectral Graph Filtering
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Separation of ground and nonground measurements is an essential task in the analysis of light detection and ranging (LiDAR) point clouds; however, it is challenge to implement a LiDAR filtering algorithm that integrates the mathematical...

Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Interpretation of 3-D scene through LiDAR point clouds has been a hot research topic for decades. To utilize measured points in the scene, assigning unique tags to the points of the scene with labels linking to individual objects plays a crucial role in the...

Semiautomatic Construction of 2-D Façade Footprints From Mobile LiDAR Data
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Although mobile light detection and ranging (LiDAR) technology has excellent potential in mapping street scenes, there is little research in constructing façade footprints from unorganized, uneven, and incomplete mobile LiDAR point...

Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model
2020 Edition, Volume 13, January 1, 2020 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Interpretation of 3-D scene through LiDAR point clouds has been a hot research topic for decades. To utilize measured points in the scene, assigning unique tags to the points of the scene with labels linking to individual objects plays a crucial role in the...

Geometric Primitives in LiDAR Point Clouds: A Review
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Geometric primitives that consist of a group of discrete points may be viewed as one kind of abstraction and representation of lidar data at the entity level. In recent years, many efforts from different scientific communities, such as photogrammetry, computer vision and...

Ground Surface Filtering of 3D Point Clouds Based on Hybrid Regression Technique
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Lidar has received a lot of attention due to its precise ranging accuracy. Ground points filtering is an important task in point clouds processing. It's a challenge to model the ground surface and filter the point clouds accurately...

On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud
2019 Edition, November 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Ground surface detection in point cloud is widely used as a key module in autonomous driving systems. Different from previous approaches which are mostly developed for lidars with high beam resolution, e.g. Velodyne HDL-64, this paper proposes ground...

Multi-level interpolation-based filter for airborne LiDAR point clouds in forested areas
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Over the past decades, plenty of filtering algorithms have been presented to distinguish ground and non-ground points from airborne LiDAR point clouds. However, with the existing methods, it is difficult to derive satisfactory filtering results on...

Geometric Primitives in LiDAR Point Clouds: A Review
2020 Edition, Volume 13, January 1, 2020 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

To the best of our knowledge, the most recent light detection and ranging (lidar)-based surveys have been focused only on specific applications such as reconstruction and segmentation, as well as data processing techniques based on a specific...

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