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3D object detection from pointcloud
Červený, Patrik ; Richter, Miloslav (referee) ; Zemčík, Tomáš (advisor)
The bachelor thesis deals with the detection of 3D objects in a point cloud acquired by a LIDAR sensor. The thesis describes the sensors that collect the data for the point cloud, the methods to process the data and the final representation of the collected data, using the chosen application. By using a LIDAR sensor we detect a 3D image of the point cloud at the railway stations in Brno and with the help of the available methods for processing and application we try to describe what the sensor shows us through the data.
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Predicting Trajectories of Vehicles and Pedestrians for Driving Assistent Systems
Mudroň, Marek ; Musil, Petr (referee) ; Smrž, Pavel (advisor)
This bachelor thesis deals with representation of a traffic scene by processing monocular video sequence. I try to predict a trajectory of detected vehicles in a short time horizon, based on created representation. Current approaches use multiple expensive sensors to gather instant information of environment. In the thesis I introduce technique, which is able to extract data from an environment by image processing techniques without the need of expensive sensors. The result of this work is a system creating opportunity to reduce the sensor costs of a system for scene representation and trajectory prediction of vehicles in the scene. In addition, comparison of models trained on differently processed data is provided, as well as data about how my system approximates the most reliable prediction models.
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Predicting Trajectories of Vehicles and Pedestrians for Driving Assistent Systems
Mudroň, Marek ; Musil, Petr (referee) ; Smrž, Pavel (advisor)
This bachelor thesis deals with representation of a traffic scene by processing monocular video sequence. I try to predict a trajectory of detected vehicles in a short time horizon, based on created representation. Current approaches use multiple expensive sensors to gather instant information of environment. In the thesis I introduce technique, which is able to extract data from an environment by image processing techniques without the need of expensive sensors. The result of this work is a system creating opportunity to reduce the sensor costs of a system for scene representation and trajectory prediction of vehicles in the scene. In addition, comparison of models trained on differently processed data is provided, as well as data about how my system approximates the most reliable prediction models.
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3D object detection from pointcloud
Červený, Patrik ; Richter, Miloslav (referee) ; Zemčík, Tomáš (advisor)
The bachelor thesis deals with the detection of 3D objects in a point cloud acquired by a LIDAR sensor. The thesis describes the sensors that collect the data for the point cloud, the methods to process the data and the final representation of the collected data, using the chosen application. By using a LIDAR sensor we detect a 3D image of the point cloud at the railway stations in Brno and with the help of the available methods for processing and application we try to describe what the sensor shows us through the data.
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