National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Simulation of protocols for wireless sensor networks in COOJA environment
Kilian, Petr ; Šimek, Milan (referee) ; Červenka, Vladimír (advisor)
This thesis deals with simualtion in wireless sensor network. First, five simulators – Tossim, NS-2, Prowler, OMNeT++ and Cooja are described. In next part acquaints with the program Cooja. On their own experience it is created manual for this program. The most important part is elaboration three communication scheme, that are working with the RPL protocol.
Neural Networks for Autonomous Car Driving
Dopita, Marek ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
In this work, the principles of neural networks are introduced with a focus on autonomous vehicles. Based on this information, a proposal for the implementation of a system is created, which allows to drive a car without a driver. It builds on tools that allow easy creation and testing of autonomous vehicles. It is CARLA simulator and ranking.The proposal divides vehicle routes into three different situations. Each situation requires the use of different sensors, so a specific autonomous agent is created that is able to recognize the situation and switch between different neural network designs. Each such network is specific in its inputs and is taught in a specific situation.Programs are created that are able to easily collect a data set using the CARLA Leaderboard. Then, a way is introduced to how the collected data can be divided into categories so that each category can be used to learn its neural network. 
Neural Networks for Autonomous Car Driving
Dopita, Marek ; Hradiš, Michal (referee) ; Smrž, Pavel (advisor)
In this work, the principles of neural networks are introduced with a focus on autonomous vehicles. Based on this information, a proposal for the implementation of a system is created, which allows to drive a car without a driver. It builds on tools that allow easy creation and testing of autonomous vehicles. It is CARLA simulator and ranking.The proposal divides vehicle routes into three different situations. Each situation requires the use of different sensors, so a specific autonomous agent is created that is able to recognize the situation and switch between different neural network designs. Each such network is specific in its inputs and is taught in a specific situation.Programs are created that are able to easily collect a data set using the CARLA Leaderboard. Then, a way is introduced to how the collected data can be divided into categories so that each category can be used to learn its neural network. 
Simulation of protocols for wireless sensor networks in COOJA environment
Kilian, Petr ; Šimek, Milan (referee) ; Červenka, Vladimír (advisor)
This thesis deals with simualtion in wireless sensor network. First, five simulators – Tossim, NS-2, Prowler, OMNeT++ and Cooja are described. In next part acquaints with the program Cooja. On their own experience it is created manual for this program. The most important part is elaboration three communication scheme, that are working with the RPL protocol.

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