Essays about: "Movement Prediction"
Showing result 36 - 40 of 66 essays containing the words Movement Prediction.
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36. Long-term vehicle movement prediction using Machine Learning methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The problem of location or movement prediction can be described as the task of predicting the future location of an item using the past locations of that item. It is a problem of increasing interest with the arrival of location-based services and autonomous vehicles. READ MORE
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37. Influence of different frequencies order in a multi-step LSTM forecast for crowd movement in the domains of transportation and retail
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Denna avhandling presenterar ett tillvägagångssätt för att förutspå förflyttning inom folkmassor med hjälp av LSTM-neurala nätverk. Specifikt analyseras inflytandet som olika frekvenser av tidsserier har på både prognosen för folkmassorna och designen i arkitekturen inom transport och handel. READ MORE
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38. Trajectory generation for safe overtaking maneuver inautonomous vehicles : Evaluated in lane merging scenario utilizing a trajectory planner
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : More than 1.2 million people die each year due to road traffic injuries [1]. In order to reduce traffic accidents and human errors, autonomous vehicles is been the subject of intense research. READ MORE
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39. Gesture-level model : A modified Keystroke-level model for tasks on mobile touchscreen devices
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : The aim of this thesis was to develop a touchscreen-adapted version of the well established Keystroke-level model, which is a user performance model designed to be a quick and easy way to evaluate user interfaces prior to creating prototypes. A quantitative research method was chosen to measure general execution times for common touchscreen gestures on mobile devices. READ MORE
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40. Tracking of Humans in Video Stream Using LSTM Recurrent Neural Network
University essay from KTH/Teoretisk datalogi, TCSAbstract : In this master thesis, the problem of tracking humans in video streams by using Deep Learning is examined. We use spatially supervised recurrent convolutional neural networks for visual human tracking. In this method, the recurrent convolutional network uses both the history of locations and the visual features from the deep neural networks. READ MORE