National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Path Planning for Autonomous Agricultural Machines
Chripková, Martina ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
This thesis presents the design of a coverage path planning algorithm for autonomous agricultural machines. The main goal of this work was to design an algorithm that can minimize the route. As a result, it saves time and costs associated with the management of agricultural land. Algorithm also takes care of the needs of soil protection against erosion.
Path Planning for Autonomous Agricultural Machines
Kuchta, Lukáš ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
With the ever-growing human population on Earth, it is necessary to ensure that the agricultural sector also grows in order to ensure enough food for all people. One way to ensure this is to increase automation in this area. Since fewer and fewer people are engaged in agriculture, more or less autonomous devices are being used more often. This work deals with a summary of algorithms that are used for route planning (not only) in the field of agriculture, which is one of the key components of autonomous vehicles. First, the history in this area is summarized, followed by the current state of autonomous vehicles in agriculture. Next, point-to-point algorithms are summarized, followed by coverage routing algorithms. The next part deals with the use of these algorithms in practice. The next part describes the design of the application, which is implemented in the next part of this work. A program is created that creates a coverage map for the specified field and machine. Finally, the results of the work are summarized.
Path Planning for Autonomous Agricultural Machines
Chripková, Martina ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
This thesis presents the design of a coverage path planning algorithm for autonomous agricultural machines. The main goal of this work was to design an algorithm that can minimize the route. As a result, it saves time and costs associated with the management of agricultural land. Algorithm also takes care of the needs of soil protection against erosion.

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