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1	Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control Adeboye, Taiyelolu January 2018 (has links) This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time. It details a design that was focused on detecting and following objects in flight as applied to a football in motion. An overall goal of the design was to develop a system capable of recognizing an object and its present and near future location while also actuating a robotic arm in response to the motion of the ball in flight. The implementation made use of image processing functions in C++, NVIDIA Jetson TX1, Sterolabs’ ZED stereoscopic camera setup in connection to an embedded system controller for the robot arm. The image processing was done with a textured background and the 3D location coordinates were applied to the correction of a Kalman filter model that was used for estimating and predicting the ball location. A capture and processing speed of 59.4 frames per second was obtained with good accuracy in depth detection while the ball was well tracked in the tests carried out. Object detection 3D reconstruction Object tracking Robot goalkeeper C++ OpenCV CUDA MATLAB Image processing Machine vision Linux OS GPU NVIDIA TX1 Stereolabs ZED Robotics Robotteknik och automation Embedded Systems Inbäddad systemteknik
2	Lepší vymezení herního prostoru pro VR pomocí 3D sensorů / Better Chaperone Bounds Using 3D Sensors Tinka, Jan January 2018 (has links) Room-scale tracking encourages users to move more freely and even walk. Even though there has been much research on making the limited physical workspace feel larger in the VR, these approaches have their limitations and require certain conditions to be met. This thesis proposes an alternative approach to the conventional play-area boundaries of high-end VR products such as the HTC Vive and Oculus Rift which are set by the user in a 2-D fashion as a means of enhance workspace utilization. A 3-D scanner is used to make a 3-D point-cloud model of the play area's surroundings. This model is then used to detect collisions and provide feedback to the user. Evaluation based on user tests showed that this approach can be useful, is well accepted by users and might be worth further research.

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Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control

Lepší vymezení herního prostoru pro VR pomocí 3D sensorů / Better Chaperone Bounds Using 3D Sensors