Essays about: "prestanda i realtid"
Showing result 1 - 5 of 103 essays containing the words prestanda i realtid.
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1. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. READ MORE
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2. Comparison between Smoothed-Particle Hydrodynamics and Position Based Dynamics for real-time water simulation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Two of the methods common in video game fluid simulation are SmoothedParticle Hydrodynamics (SPH), and Position Based Dynamics (PBD). They are both Lagrangian methods of fluid simulation. SPH has been used for many years in offline simulations and has truthful visuals, but is not as stable as the newer method PBD when using larger timesteps. READ MORE
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3. Predictive Controllers for Load Transportation in Microgravity Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space activities have been increasing dramatically in the past decades. As a result, the number of space debris has also increased significantly. Therefore, it is necessary to clean up and remove them to prevent a collision between space debris and spacecraft. READ MORE
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4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE
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5. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE