Projects and Grants

The information comes from the university database V3S.

Principal Investigator:
Co-Investigators:
Annotation:
The guidance systems of agricultural machines do not allow only autonomous parallel guidance of machinery on the field, but also the control of implements based on the geographical location of the field. Using aerial photogrammetry or using on-the-go image recognition sensors, it is possible to determine the location of a spot of land where chemical protection is required. These data can be interpreted as so-called prescription maps for the control of tools, which identify, for example, weed outbreaks on which it is necessary to apply herbicide for their elimination. Compared to the current common strategy of applying the active substance, up to 80% can be saved using spot-spraying technologies (Roberts, 2021). This technology automatically controls the nozzles only on the spots where it is needed. The main purpose of the project is to verify the appropriate technology and develop a method for identifying specific spots (weed outbreaks, flooded or otherwise affected places) on the field. The developed method aims to reduce the number of applied herbicides in these places. Recognizing specific spots is key for subsequent guidance, steering, and control of agricultural implements.
Department:
Year:
2023 - 2024
Program:
Studentská grantová soutěž ČVUT - SGS23/132/OHK2/2T/16

Principal Investigator:
Ing. Jakub Matějček
Co-Investigators:
Ing. Bc. Petr Kumpošt, Ph.D.; Ing. Jaroslav Pinkas; prof. Ing. Ondřej Přibyl, Ph.D.
Annotation:
Subject of this project will be to carry our analysis of attractiveness of newly emerged areas for pedestrians. Idea for this project was initiated by growing housing development in Prague. Attractiveness will be assessed on the basis of the share of pedestrian traffic in the total traffic volumes of the locality. The quality of the research will be supported by the fact that areas for this research will be selected from the locations built by one of the largest housing developers in the Czech Republic, where the researcher has access to a wide range of information about the apartment houses built here. The advantage of these places is due to their connection to the surrounding street network (1-2 access roads) the possibility of finding out all the traffic volumes produced by these localities. Also with the added value of the internal knowledge of the dispositions of all residential buildings here. Space, where individuals move, is given to us with a set of potentials for how will we use it. This is the reason why the relationship between space and how people will use it can be analyzed and is to some extent predictable. This relationship has been proven in several publications (e.g. Hillier B. (2007): Space is the machine: a configurational theory of architecture). For the purposes of the project, a model of attractiveness of individual segments of the Prague street network will be created using the space syntax method. Space syntax is a set of techniques for analyzing the relationship between spatial layout and human movement patterns. When choosing the locations, we will also take into account the presence of a wide range of parameters affecting attractiveness (such as availability of public transport, services, public amenities, job opportunities, etc.). In places where the selected residential areas are connected to the street network of the city, the volumes of vehicle and pedestrian traffic will be measured in order to determine the modal split of the give
Department:
Year:
2020 - 2021
Program:
Studentská grantová soutěž ČVUT - SGS20/135/OHK2/2T/16