Observations of particle extinction, PM 2.5 mass concentration profile and flux in north China based on mobile lidar technique
Sign Up to like & getrecommendations! Published in 2017 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2017.06.022
Abstract: Fine particle with diameter read more here.
Keywords: mass concentration; based mobile; mobile lidar; particle extinction ... See more keywords
RectMatch: A novel scan matching method using the rectangle-flattening representation for mobile LiDAR systems
Sign Up to like & getrecommendations! Published in 2021 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2021.08.011
Abstract: Abstract Point cloud registration is a fundamental problem in 3D computer vision. This paper addresses scan matching for reliable Mobile LiDAR Systems (MLSs) that can traverse different environments and be robust against outliers and noise.… read more here.
Keywords: mobile lidar; rectangle; rectangle flattening; flattening representation ... See more keywords
Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of environmental sciences"
DOI: 10.1016/j.jes.2021.06.013
Abstract: Accurately quantifying the concentration and transport flux of atmospheric fine particulate matter (PM2.5) is vital when attempting to thoroughly identify the pollution formation mechanism. In this study, the mobile lidar measurements in Beijing on heavily… read more here.
Keywords: lidar measurements; 2015 2018; mobile lidar; lidar ... See more keywords
Canopy detection over roads using mobile lidar data
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1678077
Abstract: ABSTRACT A high percentage of forest fires take place around roads. These infrastructures provide an escape route for the population in case of fire. Optimization of forest management in the surroundings of roads is a… read more here.
Keywords: methodology; lidar; detection; mobile lidar ... See more keywords
Road Curb Extraction From Mobile LiDAR Point Clouds
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2617819
Abstract: Automatic extraction of road curbs from uneven, unorganized, noisy, and massive 3-D point clouds is a challenging task. Existing methods often project 3-D point clouds onto 2-D planes to extract curbs. However, the projection causes… read more here.
Keywords: extraction; road; point clouds; mobile lidar ... See more keywords
Three-Dimensional Object Co-Localization From Mobile LiDAR Point Clouds
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3057374
Abstract: Recently, 3D deep learning technologies require a large amount of supervised 3D point-cloud data to learn statistical models for various ITS-related tasks, e.g. object classification, object detection, object segmentation, etc. However, manually annotating 3D point-cloud… read more here.
Keywords: mobile lidar; point cloud; point; object localization ... See more keywords
Automatic tree parameter extraction by a Mobile LiDAR System in an urban context
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0196004
Abstract: In an urban context, tree data are used in city planning, in locating hazardous trees and in environmental monitoring. This study focuses on developing an innovative methodology to automatically estimate the most relevant individual structural… read more here.
Keywords: methodology; lidar system; tree; urban context ... See more keywords