• Title/Summary/Keyword: LiDAR Data

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A Study on Digital Mapping using LiDAR Data (LiDAR 데이터를 이용한 수치지도 제작 방안 연구)

  • Lee, Hyun-Jik;Kim, Hong-Sub;Ru, Ji-Ho
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.2 s.36
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    • pp.33-42
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    • 2006
  • Recently, the studies on the extraction of 3-dimension position information and attribute information of ground surface using LiDAR data. LiDAR data has high locational accuracy, and advantage that can process data more fast because there's not coordinate transform when acquire of Data justly the ground coordinate by Acquiring. The paper using only LiDAR data Manufacture road, building, contour That occupy a many parts of Digital Map. Estimated for possibility of Digital mapping using only LiDAR data As that compare accuracy with Digital map.

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Design and Implementation of System for Estimating Diameter at Breast Height and Tree Height using LiDAR point cloud data

  • Jong-Su, Yim;Dong-Hyeon, Kim;Chi-Ung, Ko;Dong-Geun, Kim;Hyung-Ju, Cho
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.99-110
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    • 2023
  • In this paper, we propose a system termed ForestLi that can accurately estimate the diameter at breast height (DBH) and tree height using LiDAR point cloud data. The ForestLi system processes LiDAR point cloud data through the following steps: downsampling, outlier removal, ground segmentation, ground height normalization, stem extraction, individual tree segmentation, and DBH and tree height measurement. A commercial system, such as LiDAR360, for processing LiDAR point cloud data requires the user to directly correct errors in lower vegetation and individual tree segmentation. In contrast, the ForestLi system can automatically remove LiDAR point cloud data that correspond to lower vegetation in order to improve the accuracy of estimating DBH and tree height. This enables the ForestLi system to reduce the total processing time as well as enhance the accuracy of accuracy of measuring DBH and tree height compared to the LiDAR360 system. We performed an empirical study to confirm that the ForestLi system outperforms the LiDAR360 system in terms of the total processing time and accuracy of measuring DBH and tree height.

Comparative study for height accuracy of Full waveform LiDAR data (Full waveform LiDAR의 높이 정확도 비교 분석)

  • Ryu, Joong-Hi;Lee, Jae-Hwan;Koh, Seung-Bum;Kim, Back-Seok;Seo, Hae-Soo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.3
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    • pp.257-263
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    • 2011
  • There are many previous researches such as verification of accuracy, application, and change detection of discrete return LiDAR data, but no researches for full waveform LiDAR data. In this study, we selected the forest area and urban area as case study areas and compared the height accuracy of full waveform LiDAR data with field surveying data. As a result, we got an RMSE of 3.lcm in urban area, 4.7cm in forest area, and it is verified that height accuracy of full waveform LiDAR is high. We think that it is very usefull in aerial photogrammetry.

Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms (클러스터링 알고리즘에서 저비용 3D LiDAR 기반 객체 감지를 위한 향상된 파라미터 추론)

  • Kim, Da-hyeon;Ahn, Jun-ho
    • Journal of Internet Computing and Services
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    • v.23 no.6
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    • pp.71-78
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    • 2022
  • This paper proposes an algorithm for 3D object detection by processing point cloud data of 3D LiDAR. Unlike 2D LiDAR, 3D LiDAR-based data was too vast and difficult to process in three dimensions. This paper introduces various studies based on 3D LiDAR and describes 3D LiDAR data processing. In this study, we propose a method of processing data of 3D LiDAR using clustering techniques for object detection and design an algorithm that fuses with cameras for clear and accurate 3D object detection. In addition, we study models for clustering 3D LiDAR-based data and study hyperparameter values according to models. When clustering 3D LiDAR-based data, the DBSCAN algorithm showed the most accurate results, and the hyperparameter values of DBSCAN were compared and analyzed. This study will be helpful for object detection research using 3D LiDAR in the future.

LiDAR Data Segmentation Using Aerial Images for Building Modeling (항공영상에 의한 LiDAR 데이터 분할에 기반한 건물 모델링)

  • Lee, Jin-Hyung;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.47-56
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    • 2010
  • The use of airborne LiDAR data obtained by airborne laser scanners has increased in the field of spatial information such as building modeling. LiDAR data consist of irregularly distributed 3D coordinates and lack visual and semantic information. Therefore, LiDAR data processing is complicate. This study suggested a method of LiDAR data segmentation using roof surface patches from aerial images. Each segmented patch was modeled by analyzing geometric characteristics of the LiDAR data. The optimal functions could be determined with segmented data that fits various shapes of the roof surfaces as flat and slanted planes, dome and arch types. However, satisfiable segmentation results were not obtained occasionally due to shadow and tonal variation on the images. Therefore, methods to remove unnecessary edges result in incorrect segmentation are required.

Signal Compensation of LiDAR Sensors and Noise Filtering (LiDAR 센서 신호 보정 및 노이즈 필터링 기술 개발)

  • Park, Hong-Sun;Choi, Joon-Ho
    • Journal of Sensor Science and Technology
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    • v.28 no.5
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    • pp.334-339
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    • 2019
  • In this study, we propose a compensation method of raw LiDAR data with noise and noise filtering for signal processing of LiDAR sensors during the development phase. The raw LiDAR data include constant errors generated by delays in transmitting and receiving signals, which can be resolved by LiDAR signal compensation. The signal compensation consists of two stage. First one is LiDAR sensor calibration for a compensation of geometric distortion. Second is walk error compensation. LiDAR data also include fluctuation and outlier noise, the latter of which is removed by data filtering. In this study, we compensate for the fluctuation by using the Kalman filter method, and we remove the outlier noise by applying a Gaussian weight function.

Semantic Depth Data Transmission Reduction Techniques using Frame-to-Frame Masking Method for Light-weighted LiDAR Signal Processing Platform (LiDAR 신호처리 플랫폼을 위한 프레임 간 마스킹 기법 기반 유효 데이터 전송량 경량화 기법)

  • Chong, Taewon;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1859-1867
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    • 2021
  • Multi LiDAR sensors are being mounted on autonomous vehicles, and a system to multi LiDAR sensors data is required. When sensors data is transmitted or processed to the main processor, a huge amount of data causes a load on the transport network or data processing. In order to minimize the number of load overhead into LiDAR sensor processors, only semantic data is transmitted through data comparison between frames in LiDAR data. When data from 4 LiDAR sensors are processed in a static environment without moving objects and a dynamic environment in which a person moves within sensor's field of view, in a static experiment environment, the transmitted data reduced by 89.5% from 232,104 to 26,110 bytes. In dynamic environment, it was possible to reduce the transmitted data by 88.1% to 29,179 bytes.

A Study of Store & Management of Airborne LiDAR Data (항공LiDAR 데이터의 관계형 DBMS 저장 및 관리방안 연구)

  • Kim, Ho-Kun;Kwon, Chang-Hee
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.548-553
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    • 2008
  • While in the past map-making process by field survey devices such as MicroStation needs more time relatively, we can make more precise map effectively with airbone LiDAR and GPS devices. Also the data, captured by LiDAR, are very large in size and so it needs to use Relational DBMS to manage and process LiDAR data. In this study we propose how to store and manage LiDAR data using RDBMS.

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The Study of Flood Simulations using LiDAR Data (LiDAR 자료를 이용한 홍수 시뮬레이션에 관한 연구)

  • Shim, Jung-Min;Lee, Suk-Bae
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.4 s.38
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    • pp.53-60
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    • 2006
  • The purpose of this paper is forcasting of flooding area using LiDAR surveying data, and flood map for damage prevention is established for this purpose. Teahwa river at Ulsan city was chosen as test area and the flood simulation was produced in this area. For the flood simulation, each DEM using LiDAR data and digital map was established and then HEC model program and MIKE program was used to decide the amount of flood flowing and flood height. To improve the rainfall-overflow simulation confidence using inspection comparison of LiDAR data this paper analyzed and compared the LiDAR DEM accuracy and 1/5000 digital map DEM. The height accuracy is important factor to make flood map, however, LiDAR survey execution of all river area is not economic so, LiDAR survey execution of only important area is possible to be make high accuracy and economic flood map. The expectation effect of flood simulation is flood damage prevention and economic savings of recovery cost by forcasting of rainfall-overflow area and establishment of counter-measure.

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Road design applied to the Air LiDAR data for basic research (항공 LiDAR 데이터를 도로설계에 적용하기 위한 기초연구)

  • Jang, Eun-Seok;Yun, Hong-Sic;Kim, Yong-Hyeon;Bae, Hyung-Look
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.263-266
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    • 2010
  • The research design of the road for the LiDAR survey data was available, LiDAR data currently exists for this area Daejeon, Gongju area two map sheet selected of the LiDAR data and figures were produced using the DEM, respectively. The scale 1 / 5, 000 of figures produced by using the DEM and LiDAR DEM data comparing the results produced by the difference in some areas or That could be found. The accuracy of LiDAR data in the road design to use more accurate information on terrain, roads and construction of the linear installation cost savings Contribution will be considered.

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