Object recognition, segmentation, and classification of mobile laser scanning point clouds: A state of the art review

E Che, J Jung, MJ Olsen - Sensors, 2019 - mdpi.com
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

Mobile laser scanned point-clouds for road object detection and extraction: A review

L Ma, Y Li, J Li, C Wang, R Wang, MA Chapman - Remote Sensing, 2018 - mdpi.com
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification

X Roynard, JE Deschaud… - The International Journal …, 2018 - journals.sagepub.com
This paper introduces a new urban point cloud dataset for automatic segmentation and
classification acquired by mobile laser scanning (MLS). We describe how the dataset is …

Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

M Weinmann, B Jutzi, S Hinz, C Mallet - ISPRS Journal of Photogrammetry …, 2015 - Elsevier
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …

Semantic classification of 3D point clouds with multiscale spherical neighborhoods

H Thomas, F Goulette, JE Deschaud… - … conference on 3D …, 2018 - ieeexplore.ieee.org
This paper introduces a new definition of multiscale neighborhoods in 3D point clouds. This
definition, based on spherical neighborhoods and proportional subsampling, allows the …

Multi-level monitoring of subtle urban changes for the megacities of China using high-resolution multi-view satellite imagery

X Huang, D Wen, J Li, R Qin - Remote sensing of environment, 2017 - Elsevier
Megacities have evolved at an unprecedented rate under the pressure of urban population
growth and economic development, particularly in the developing countries. For instance …

Review of laser scanning technologies and their applications for road and railway infrastructure monitoring

M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …

Machine vision based traffic sign detection methods: Review, analyses and perspectives

C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

Hierarchical extraction of urban objects from mobile laser scanning data

B Yang, Z Dong, G Zhao, W Dai - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Point clouds collected in urban scenes contain a huge number of points (eg, billions),
numerous objects with significant size variability, complex and incomplete structures, and …

Geometric primitives in LiDAR point clouds: A review

S Xia, D Chen, R Wang, J Li… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
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 …