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Analysis of ZED stereocamera in outdoor environment
Svoboda, Ondřej ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The Master thesis is focused on analyzing stereo camera ZED in the outdoor environment. There is compared ZEDfu visual odometry with commonly used methods like GPS or wheel odometry. Moreover, the thesis includes analyses of SLAM in the changeable outdoor environment, too. The simultaneous mapping and localization in RTAB-Map were processed separately with SIFT and BRISK descriptors. The aim of this master thesis is to analyze the behaviour ZED camera in the outdoor environment for future implementation in mobile robotics.
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3D Map Building Based on Stereo Vision for Mobile Robot Navigation
Babinec, Adam ; Orság, Filip (referee) ; Herman, David (advisor)
This thesis is dedicated to the subject of passive stereo vision in modern robotics. The work includes the design and implementation of autonomous passive binocular stereo vision system for mobile robot navigation. A three-dimensional local map is built up by aggregation of point clouds created by reprojection of the image pairs taken with stereocamera. The image pairs are reprojected using disparity map obtained with application of block matching algorithms on the image pairs. The local map is represented by voxel grid stored in an octree and it supports detection of moving obstacles on ray-casting principle. Visual odometry is calculated by tracking reprojected paired image features detected in series of image pairs. The system allows user to choose different approaches to the problem solving, it is platform and hardware-independent and provides graphic user interface.
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Browse the Map on Your Mobile Device by Moving the Device
Pohrebniak, Yehor ; Milet, Tomáš (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on the creation of a mobile application that presents a map and based on the movement of a mobile device in space, represents a sliding map camera. The theoretical part is focused on acquaintance with available technologies and design of a system of data processing methods from inertial measuring units of mobile devices and video from the smartphone camera. The practical part is focused on the implementation of mobile application that obtain data from motion sensors and move the map
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Browse the Map on Your Mobile Device by Moving the Device
Pohrebniak, Yehor ; Milet, Tomáš (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on the creation of a mobile application that presents a map and based on the movement of a mobile device in space, represents a sliding map camera. The theoretical part is focused on acquaintance with available technologies and design of a system of data processing methods from inertial measuring units of mobile devices and video from the smartphone camera. The practical part is focused on the implementation of mobile application that obtain data from motion sensors and move the map.
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Browse the Map on Your Mobile Device by Moving the Device
Pohrebniak, Yehor ; Milet, Tomáš (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on the creation of a mobile application that presents a map and based on the movement of a mobile device in space, represents a sliding map camera. The theoretical part is focused on acquaintance with available technologies and design of a system of data processing methods from inertial measuring units of mobile devices and video from the smartphone camera. The practical part is focused on the implementation of mobile application that obtain data from motion sensors and move the map.
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Browse the Map on Your Mobile Device by Moving the Device
Pohrebniak, Yehor ; Milet, Tomáš (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on the creation of a mobile application that presents a map and based on the movement of a mobile device in space, represents a sliding map camera. The theoretical part is focused on acquaintance with available technologies and design of a system of data processing methods from inertial measuring units of mobile devices and video from the smartphone camera. The practical part is focused on the implementation of mobile application that obtain data from motion sensors and move the map
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Visual odometry from omnidirectional camera
Diviš, Jiří ; Svoboda, Tomáš (advisor) ; Obdržálek, David (referee)
We present a system that estimates the motion of a robot relying solely on images from onboard omnidirectional camera (visual odometry). Compared to other visual odometry hardware, ours is unusual in utilizing high resolution, low frame-rate (1 to 3 Hz) omnidirectional camera mounted on a robot that is propelled using continuous tracks. We focus on high precision estimates in scenes, where objects are far away from the camera. This is achieved by utilizing omnidirectional camera that is able to stabilize the motion estimates between camera frames that are known to be ill-conditioned for narrow field of view cameras and the fact that low frame-rate of the imaging system allows us to focus computational resources on utilizing high resolution images. We employ feature based-approach for estimation camera motion. Given our hardware, possibly high ammounts of camera rotation between frames can occur. Thus we use techniques of feature matching rather than feature tracking.
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Visual odometry from omnidirectional camera
Diviš, Jiří ; Svoboda, Tomáš (advisor) ; Obdržálek, David (referee)
We present a system that estimates the motion of a robot relying solely on images from onboard omnidirectional camera (visual odometry). Compared to other visual odometry hardware, ours is unusual in utilizing high resolution, low frame-rate (1 to 3 Hz) omnidirectional camera mounted on a robot that is propelled using continuous tracks. We focus on high precision estimates in scenes, where objects are far away from the camera. This is achieved by utilizing omnidirectional camera that is able to stabilize the motion estimates between camera frames that are known to be ill-conditioned for narrow field of view cameras. We employ feature based-approach for estimation camera motion. Given our hardware, possibly high ammounts of camera rotation between frames can occur. Thus we use techniques of feature matching rather than feature tracking.
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Visual odometry from omnidirectional camera
Diviš, Jiří ; Svoboda, Tomáš (advisor) ; Obdržálek, David (referee)
We present a system that estimates the motion of a robot relying solely on images from onboard omnidirectional camera (visual odometry). Compared to other visual odometry hardware, ours is unusual in utilizing high resolution, low frame-rate (1 to 3 Hz) omnidirectional camera mounted on a robot that is propelled using continuous tracks. We focus on high precision estimates in scenes, where objects are far away from the camera. This is achieved by utilizing omnidirectional camera that is able to stabilize the motion estimates between camera frames that are known to be ill-conditioned for narrow field of view cameras. We employ feature based-approach for estimation camera motion. Given our hardware, possibly high ammounts of camera rotation between frames can occur. Thus we use techniques of feature matching rather than feature tracking.
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