Essays about: "train collision"
Found 4 essays containing the words train collision.
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1. Construction of a machine learning training pipeline for merging AIS data with external datasources
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Machine learning methods are increasingly being used in the maritime domain to predict traffic anomalies and to mitigate risk, for example avoiding collision and groundingaccidents. However, most machine learning systems used for detecting such issues hasbeen trained predominately on single data sources such as vessel positioning data. READ MORE
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2. A Deep Neural Network Approach for Intersection Testing of Two 3D Meshes
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Neural Networks have mainly been used in behavior and gameplayrelated areas in games, but they have not yet been used specifically for intersection testing. This thesis explores the possibility to use deep neural networks for intersection testing of two 3D meshes. Objectives. READ MORE
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3. Navigability Assessment for Autonomous Systems Using Deep Neural Networks
University essay from Linköpings universitet/DatorseendeAbstract : Automated navigability assessment based on image sensor data is an important concern in the design of autonomous robotic systems. The problem consists in finding a mapping from input data to the navigability status of different areas of the surrounding world. Machine learning techniques are often applied to this problem. READ MORE
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4. Does tree removal along railroads in Sweden influence the risk of train accidents with moose and roe deer?
University essay from SLU/Dept. of EcologyAbstract : After the storm Gudrun in 2005, the Swedish Transport Administration started clear-cutting of railroad corridors to reduce the risk of trees falling down on the tracks. Simultaneously, train accidents with moose and roe deer have become more frequent and the costs for consequent delays and repairs of engines are of growing concern. READ MORE