Sökning: "Driver models"

Visar resultat 16 - 20 av 230 avhandlingar innehållade orden Driver models.

  1. 16. Models for tracking in automotive safety systems

    Författare :Fredrik Bengtsson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; motion models; active safety; vehicle tracking; Automotive; radar detections; preventive safety;

    Sammanfattning : This thesis treats the three main components of a tracking system: motion models, sensor models and implementation architecture. A tracking system utilizes models to extract as much information as possible from a set of sensors, with the purpose of estimating the state of a dynamic system. LÄS MER

  3. 17. Driver Modeling based on computational intelligence approaches : exploaration and Modeling driver-following data collected by an instrumented vehicle

    Författare :Xiaoliang Ma; Karl-Lennart Bång; Mark Dougherty; KTH; []
    Nyckelord :TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : This thesis is concerned with modeling of driver behavior based on data collected from real traffic using an advanced instrumented vehicle. In particular, the focus is on driver-following behavior (often called car-following in transport science) for microscopic simulation of road traffic systems. LÄS MER

  4. 18. Increasing Energy Efficiency in Electric Trains Operation : Driver Advisory Systems and Energy Storage

    Författare :Nima Ghaviha; Erik Dahlquist; Markus Bohlin; Fredrik Wallin; Rob M.P. Goverde; Mälardalens högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Driver Advisory System; Catenary-free Operation; Electric Train; Electric Multiple Unit; Battery; Energy Efficiency; Energy Storage; Speed Profile Optimization; Energy- and Environmental Engineering; energi- och miljöteknik;

    Sammanfattning : Electric traction is the most efficient traction system in the railway transportation. However, due to the expensive infrastructure and high power demand from the grid, the share of electric trains in the railway transportation is still lower than other trains. LÄS MER

  5. 19. Driver modeling: Data collection, model analysis, and optimization

    Författare :Ola Benderius; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; driving simulator; driver modeling; stochastic optimization; simulation software; genetic algorithm;

    Sammanfattning : This thesis concerns aspects of driver modeling, with an emphasis on critical near-crash scenarios, involving time spans of around 10 s of driving. Here,driver modeling has been studied using both computer simulations and experiments carried out in a high-fidelity driving simulator. LÄS MER

  7. 20. Advancing Deep Learning-based Driver Intention Recognition : Towards a safe integration framework of high-risk AI systems

    Författare :Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Christian Berger; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deep learning; uncertainty estimation; driver intention recognition; INF302 Autonomous Intelligent Systems; INF302 Autonoma intelligenta system; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Progress in artificial intelligence (AI), onboard computation capabilities, and the integration of advanced sensors in cars have facilitated the development of Advanced Driver Assistance Systems (ADAS). These systems aim to continuously minimize human driving errors. LÄS MER