<p>Plant root phenotyping technologies play an important role in breeding, plant protection, and other plant science research projects. The root phenotyping customers urgently need technologies that are low-cost, in situ, non-destructive to the roots, and suitable for the natural soil environment. Many recently developed root phenotyping methods such as minirhizotron, CT, and MRI scanners have their unique advantages in observing plant roots, but they also have disadvantages and cannot meet all the critical requirements simultaneously. The study in this paper focuses on the development of a new plant root phenotyping robot that is minimally invasive to plants and working in situ inside natural soil, called “MISIRoot”. The MISIRoot system (patent pending) mainly consists of an industrial-level robotic arm, a mini-size camera with lighting set, a plant pot holding platform, and the image processing software for root recognition and feature extraction. MISIRoot can take high-resolution color images of the roots in soil with minimal disturbance to the root and reconstruct the plant roots’ three-dimensional (3D) structure at an accuracy of 0.1 mm. In a test assay, well-watered and drought-stressed groups of corn plants were measured by MISIRoot at V3, V4, and V5 stages. The system successfully acquired the RGB color images of the roots and extracted the 3D points cloud data which showed the locations of the detected roots in the soil. The plants measured by MISIRoot and plants not measured (controls) were carefully compared with Purdue’s Lilly 13-4 Hyperspectral Imaging Facility (reference). No significant differences were found between the two groups of plants at different growth stages. Therefore, it was concluded that MISIRoot measurements had no significant disturbance to the corn plant’s growth.</p>

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Disertační práce se zabývá zpracováním mračenen bodů z laserových skenerů pomocí vektorizace a následnému vyhledávání korespondencí mezi takto získanými aproximacemi pro potřeby současné sebelokalizace a mapování v mobilní robotice. První nová metoda je určena pro segmentaci a filtraci surových dat a realizuje obě operace najednou v jednom algoritmu. Pro vektorizaci je představen optimalizovaný algoritmus založený na úplné metodě nejmenších čtverců, který je v současnosti patrně nejrychlejší ve své třídě a blíží se tak eliminačním metodám, které ovšem produkují výrazně horší aproxi- mace. Inovativní analytické metody jsou představeny i pro účely vyjádření podobnosti mezi dvěma vektorizovanými skeny, pro jejich optimální sesazení a pro vyhledávání korespondencí mezi nimi. Všechny představené algoritmy jsou intezivně testovány a jejich vlastnosti ověřeny množstvím experimentů.

The goal of this thesis is to scan part of castle Rokštejn using terrestrial laser scanner and from obtained data draw up a 3D model. Model is made with a method using meshing. In this work I also deal with the software, which supports meshing, and evaluating pros and cons of each program. The output of this work is 3D model which will serve to better representation of the current state of the castle and its better documentation.

This diploma thesis is focused on determine the characteristics of accuracy of the terrestrial laser scanner FARO Focus 3D S120. It is validated the recommended distance between the objects (targets and spheres) and the terrestrial scanner. Next it is tested accuracy of the Cartesian coordinates X, Y, Z measured by laser scanning with resolution 1/2. At the end it is investigated the accuracy of the area determination in X coordinate gained by the scanning of a smooth slightly curved surface.

The diploma thesis consists of two fundamental parts. The first part is focused on scanning a section of the Admas area by a terrestrial laser scanner. This section describes the introduction to laser scanning, necessary utilities and software, fieldwork, the process from the registration of a point cloud, through point cloud processing to its connection into the S-JTSK. The second part of the thesis is mostly focused on execution of the digital model of the relief from the acquired data. It also deals with the two methods of creating a cross-sectional drawing of the area - one is based on the digital model of the relief and the other on data obtained by the polar method. The outcome of the thesis is to assess the accuracy of the topographical model, based on the comparison with the polar method.

The goal of this thesis is to scan part of the complex research center AdMaS using terrestrial laser scanner, from obtained data draw up a 3D terrain model and compare the height accuracy with conventional terrestrial measurement. The thesis is focused to software, which allow processing of point clouds and prepare the 3D model. The output of this work is the 3D terrain model and two transverse profiles for vertical comparison of two measurement methods.

The main goal of this master thesis is processing a point cloud with respect of possibilities of a registration clouds based on reference objects or on objects in general. This thesis studies transformations to the reference coordinate system S –JTSK. The first part of this thesis describes a theoretical background of the laser scanning and its use. A practical part shows the results and the evaluation of whole research.

The aim of this thesis is to scan the part of the interior and exterior of the Faculty of Electrical Engineering and Communication building using the FARO Focus3D X 130 scanner, and the creation of a 3D model in the WGS 84 system. Subsequently, methods, status and utilization research of this technology and point cloud processing software is provided. The collected data are processed in the SCENE. Three-dimensional model is designed using the Pointfuse and Microstation V8i programs. In the end, the registration accuracy of the scans and the resulting 3D model accuracy are evaluated.

The diploma thesis deals with processing of a point cloud that was collected via mobile mapping system. The first part sets a theoretical background, starting with mapping in general moving to mobile mapping systems and their particular parts. The practical part describes the whole process of data collecting, testing the automatic detection of spatial objects based on a point cloud and its visualisation. The results of the diploma thesis are GIS data layers and an evaluation of the process.