18 eredmény a kulcsszóra: 'from lidar point clouds to d building models'
The control system consists of a PC, two servo motor control cards, a digital I / O card, drivers of the servo motors of the robot and an intelligent control software, which has
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EGB ESÉ Elektronikus Adatteidolgozási munka- csoportjának soros ülésére, melyen Straub Elek, a Központi Statisztikai Hivatal elnökhelyettese és Alföldi István, a
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Processing point clouds and the consecutive creation of 3D models of objects measured are contemporary topics. The segmentation of point clouds is the process of
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Then the points with the corresponding class labels and intensity values are projected to the ground plane, where the optimal vehicle configuration is described by a Marked
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In general, building and maintaining a tree-based structure is expensive, so usually, some kind of 3D voxel or 2D grid approaches are applied for streaming data. In [25] the
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Abstract—In this paper we present a new object based hi- erarchical model for joint probabilistic extraction of vehicles and groups of corresponding vehicles – called traffic segments
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The walking pedestrian models are placed into the reconstructed environment so that the center point of the feet follows the trajectory extracted from the LIDAR point cloud
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If we assume that in an aqueous solution all of these residues are able to react with ClO 2 just like the free amino acids, then the inactivation of the viruses can be extremely
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This method is designed to solve the recog- nition problem of far objects from LIDAR clouds or the gen- eral recognition problem for few layer LIDARs.. We demon- strated that our
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Figure 1: The first three steps of the proposed method: ini- tial classification (left), roof segmentation and edge detec- tion (middle), triangle mesh generated from endpoints of
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Previous studies showed that gait recognition methods based on the point clouds of a Velodyne HDL-64E Rotating Multi-Beam LiDAR can be used for people re-identification in
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In this paper we present a model-based approach to solve the recogni- tion problem from 3-D range data. In particular, we aim to detect and recognize vehicles from continuously
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In this paper we present a model-based approach to solve the recogni- tion problem from 3-D range data. In particular, we aim to detect and recognize vehicles from continuously
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⋄ Connected Component Algorithm for streaming data: a simple, yet efficient connected component analysis method is proposed in the hierarchical grid data structure, which
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⋄ Connected Component Algorithm for streaming data: a simple, yet efficient connected component analysis method is proposed in the hierarchical grid data structure, which
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In our approach we propose an automatic registration method of the consecutive scans without any additional sensor information such as IMU, and introduce a process for
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Using these different ALS datasets and field measurements we (1) developed multivariate regression models to quantify vegetation height, biomass and LAI using LiDAR
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