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Showing result 1 - 5 of 14 essays matching the above criteria.

  1. 1. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Anusha Jayasree Mavilla Vari Palli; Vishnu Sai Medimi; [2022]
    Keywords : Accuracy; Haar Cascade Classifier; Helmet Detection; License Plate Detection; YOLOv3 algorithm.;

    Abstract : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike.  Every motorbike rider is legally required to wear a helmet when driving a bike. READ MORE

  3. 2. Quality Attributes of Data in Distributed Deep Learning Architectures

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : SHAMEER KUMAR PRADHAN; SAGAR TUNGAL; [2021-09-28]
    Keywords : Data quality; Data; Data quality attributes; Data quality challenges; Data quality workflow; Data quality assessment; Data quality maintenance; Design science research; Artifacts; Template; Deep learning; Distributed architecture; Distributed deep learning architecture; Advanced driver assistance systems;

    Abstract : Large volume of data is generated by different systems. Intelligent systems such as autonomous driving uses such large volume of data to train their artificial intelligence models. However, good quality data is one of the foremost needs of any system to function in an effective and safe manner. READ MORE

  4. 3. Development of a Software Reliability Prediction Method for Onboard European Train Control System

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Guillaume Pierre Longrais; [2021]
    Keywords : Machine Learning; Software Reliability Growth Prediction; Linear Regression; Artificial Neural Network; Multi-Layer Perceptron; Imperialist Competitive Algorithm; Long Short-Term Memory Network; Convolutional Neural Network; Maskininlärning; förutsägelse av tillväxten av programvarans tillförlitlighet; linjär regression; artificiellt neuralt nätverk; flerskikts-perceptron; imperialistisk konkurrensalgoritm; nätverk med långt korttidsminne; konvolutionellt neuralt nätverk;

    Abstract : Software prediction is a complex area as there are no accurate models to represent reliability throughout the use of software, unlike hardware reliability. In the context of the software reliability of on-board train systems, ensuring good software reliability over time is all the more critical given the current density of rail traffic and the risk of accidents resulting from a software malfunction. READ MORE

  5. 4. Station Capacity and Platform Allocation – A Test Case at Linköping Central Station

    University essay from Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Author : Erik Johansson; Hampus Nilsson; [2021]
    Keywords : station capacity; platform allocation; discrete simulation; event-based simulation; railway station; Arena;

    Abstract : Different paths for trains throughout a railway system are more or less convenient, where intersecting train paths require a safety margin in time between different trains to reduce the risks of accidents. Intersecting train paths are just as much of a challenge on a railway station, especially when multiple trains are entering the station close in time. READ MORE

  6. 5. 1D LIDAR Speed and Motion for the Internet-of-Things : For Railroad Classification Yards

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Edward Chancellor; Kasper Oikarinen; [2021]
    Keywords : LIDAR; Trains; Internet of Things; Motion-tracking; Rail transportation; Railroad classification yards.; LIDAR; Tåg; Sakernas internet; Rörelsespårning; Tågtrafik; Rangerbangårdar.;

    Abstract : This thesis is an investigation into the feasibility of one-dimensional Light Detection and Ranging (LIDAR) sensors for tracking the position and motion of trains on railroad classification yards. Carefully monitoring railway traffic in these areas is important, in order to avoid accidents, optimise logistical operations and hence reduce delays. READ MORE