Toward a new approach for massive LiDAR data processing
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- Type
- article
- Published
- 2015-07-08
- Cited by
- 13
- References
- 47
- Access
- Open access
- OpenAlex
- https://openalex.org/W1944610132
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:4068410
Keywords
Lidar, Computer science, Data processing, Ranging, Process (computing)
References
- General Purpose Computing on Graphics Processing Units for Robotic Applications
- 3D BUILDING MODEL RECONSTRUCTION FROM POINT CLOUDS AND GROUND PLANS
- DEM Generation from Laser Scanner Data Using Adaptive TIN Models
- Fast Real-Time LIDAR Processing on FPGAs
- DERIVATION OF ROOF TYPES BY CLUSTER ANALYSIS IN PARAMETER SPACES OF AIRBORNE LASERSCANNER POINT CLOUDS
- SEGMENTATION BASED ROBUST INTERPOLATION - A NEW APPROACH TO LASER DATA FILTERING
- Comparison of nearest-neighbor-search strategies and implementations for efficient shape registration
- Flying Voxel Method with Delaunay Triangulation Criterion for Façade/Feature Detection for Computation
- Efficient RANSAC for Point‐Cloud Shape Detection
- Determination of mean tree height of forest stands using airborne laser scanner data
- Leveraging the power of multi-core platforms for large-scale geospatial data processing: Exemplified by generating DEM from massive LiDAR point clouds
- Normal estimation for pointcloud using GPU based sparse tensor voting
- Determination of terrain models in wooded areas with airborne laser scanner data
- An Algorithm for Finding Best Matches in Logarithmic Expected Time
- A progressive morphological filter for removing nonground measurements from airborne LIDAR data
- A shape-based segmentation method for mobile laser scanning point clouds
- Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds
- Efficient processing of large 3D point clouds
- New Associate Editor pp iii-iv Segmentation of airborne laser scanning data using a slope adaptive neighborhood
- ParaStream: A parallel streaming Delaunay triangulation algorithm for LiDAR points on multicore architectures
Cited by
- Location determination of radar sensors by using LIDAR data
- Big data and extreme-scale computing
- Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model
- Automatic building rooftop extraction using a digital surface model derived from aerial stereo images
- Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response
- Accelerated LiDAR data processing algorithm for self-driving cars on the heterogeneous computing platform
- Federated learning model complexity vs robustness to non-IID data and selective federated learning
- Development of a GPU-Accelerated NDT Localization Algorithm for GNSS-Denied Urban Areas
- EdgeFaaS: A Function-based Framework for Edge Computing
- An Overview of Drone Applications in the Construction Industry
- Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation
- A Point Cloud Inter-Frame Registration Method for Forestland Environments
- The BDEC “ Pathways to Convergence ” Report Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry
- Agent-Oriented Programming Languages as a High-Level Abstraction Facilitating the Development of Intelligent Behaviours for Component-Based Applications
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