Extracting Diameter at Breast Height with a Handheld Mobile LiDAR System in an Outdoor Environment
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Summary
A three-dimensional point cloud map of a forest area was generated by using the Velodyne VLP-16 LiDAR system, so as to extract the diameter at breast height (DBH) of individual trees.
- Type
- article
- Published
- 2019-07-01
- Cited by
- 56
- References
- 51
- Access
- Open access
- OpenAlex
- https://openalex.org/W2964293278
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:198172727
Keywords
Lidar, Point cloud, RANSAC, Mobile mapping, Diameter at breast height
References
- Algorithms for Stem Mapping by Means of Terrestrial Laser Scanning
- Deep learning-based tree classification using mobile LiDAR data
- Near real-time point cloud processing using the PCL
- The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots
- Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds
- Min-cut based segmentation of point clouds
- Efficient RANSAC for Point‐Cloud Shape Detection
- Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest
- Robust Segmentation in Laser Scanning 3D Point Cloud Data
- A progressive morphological filter for removing nonground measurements from airborne LIDAR data
- NCC-RANSAC: A Fast Plane Extraction Method for 3-D Range Data Segmentation
- Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
- Aerial 3D Building Detection and Modeling From Airborne LiDAR Point Clouds
- Multiplatform Mobile Laser Scanning: Usability and Performance
- Simultaneous localization and mapping (SLAM): part II
- Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds
- Outlook for the Next Generation’s Precision Forestry in Finland
- Simultaneous localization and mapping: part I
- SLAM-Aided Stem Mapping for Forest Inventory with Small-Footprint Mobile LiDAR
- Low-drift and real-time lidar odometry and mapping
Cited by
- Outdoor Scene Understanding Based on Multi-Scale PBA Image Features and Point Cloud Features
- Forest Inventory with Long Range and High-Speed Personal Laser Scanning (PLS) and Simultaneous Localization and Mapping (SLAM) Technology
- Stand parameter extraction based on video point cloud data
- Street tree segmentation from mobile laser scanning data
- Path detection for autonomous traveling in orchards using patch-based CNN
- Estimation of Tree Diameter at Breast Height using Stereo Camera by Drone Surveying and Mobile Scanning Methods
- Mobile LiDAR Scanning System Combined with Canopy Morphology Extracting Methods for Tree Crown Parameters Evaluation in Orchards
- Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR
- Painting Path Planning for a Painting Robot with a RealSense Depth Sensor
- Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey
- Canopy Parameter Estimation of Citrus grandis var. Longanyou Based on LiDAR 3D Point Clouds
- An Automated Approach for Extracting Forest Inventory Data from Individual Trees Using a Handheld Mobile Laser Scanner
- A handheld device for measuring the diameter at breast height of individual trees using laser ranging and deep-learning based image recognition
- Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR
- Application of the ZED Depth Sensor for Painting Robot Vision System Development
- 3D LiDAR Scanning of Urban Forest Structure Using a Consumer Tablet
- Extracting Crown Morphology with a Low-Cost Mobile Lidar Scanning System in the Natural Environment
- Design and experiment of visual navigated UGV for orchard based on Hough matrix and RANSAC
- Extraction of Forestry Parameters Based on Multi-Platform LiDAR
- Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications
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