Essays about: "datafusion"

Showing result 1 - 5 of 8 essays containing the word datafusion.

  1. 1. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

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

    Author : Jiaqi Xu; [2023]
    Keywords : Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE

  3. 2. Building Information Modeling Connection Recommendation Based on Machine Learning Using Multimodal Information

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

    Author : Zixin Zhou; [2023]
    Keywords : Building information modeling; Tekla Structures; Connection; Classification; Machine learning; Multimodal data fusion;

    Abstract : Den ökande komplexiteten i byggprojekt ger upphov till behovet av ett effektivt sätt att designa, hantera och underhålla strukturer. Byggnadsinformationsmodellering (BIM) underlättar dessa processer genom att tillhandahålla en digital representation av fysiska strukturer. READ MORE

  4. 3. Image and RADAR fusion for autonomous vehicles

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

    Author : Xavier de Gibert Duart; [2023]
    Keywords : Image; Camera; Computer Vision; Data Fusion; Sensors; 3D data processing; Point Clouds; Calibration; MATLAB and RADAR; RADAR; kamera; datorseende; datafusion; sensorer; 3D-databehandling; punktmoln; kalibrering; MATLAB Image;

    Abstract : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. READ MORE

  5. 4. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Author : Isabella Luppi; [2023]
    Keywords : Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE

  6. 5. Fault diagnosis of axlebox roller bearings of high speed rail vehicles based on empirical mode decomposition and machine learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : JOSUA KEHLENBACH; [2021]
    Keywords : Condition monitoring; axlebox bearings; machine learning; data fusion; Nyckelord: tillståndsövervakning; axelboxlager; maskininlärning; datafusion;

    Abstract : Axlebox bearings are one of the most critical components of a rail vehicle with regard to safety. An axlebox bearing that breaks during operation can be dangerous for the passengers and expensive for the operator. In-service failure of axlebox bearings has been the cause of many catastrophic accidents. READ MORE