Essays about: "Network Cameras"
Showing result 1 - 5 of 130 essays containing the words Network Cameras.
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1. Optimizing Realistic 3D Facial Models for VR Avatars through Mesh Simplification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of realistic 3D avatars in Virtual Reality (VR) has gained significant traction in applications such as telecommunication and gaming, offering immersive experiences and face-to-face interactions. However, standalone VR devices often face limitations in computational resources and real-time rendering requirements, necessitating the optimization of 3D models through mesh simplification to enhance performance and ensure a smooth user experience. READ MORE
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2. Event-Based Visual SLAM : An Explorative Approach
University essay from Uppsala universitet/Signaler och systemAbstract : Simultaneous Localization And Mapping (SLAM) is an important topic within the field of roboticsaiming to localize an agent in a unknown or partially known environment while simultaneouslymapping the environment. The ability to perform robust SLAM is especially important inhazardous environments such as natural disasters, firefighting and space exploration wherehuman exploration may be too dangerous or impractical. READ MORE
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3. Performance Evaluation of LoRa networks for Air-to-Ground Communications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. READ MORE
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4. Learning features for extrinsic camera calibration of wide-angle cameras
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE
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5. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE