Sökning: "Advanced driver assistance systems"

Visar resultat 1 - 5 av 49 uppsatser innehållade orden Advanced driver assistance systems.

  1. 1. Quality Attributes of Data in Distributed Deep Learning Architectures

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :SHAMEER KUMAR PRADHAN; SAGAR TUNGAL; [2021-09-28]
    Nyckelord :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;

    Sammanfattning : Large volume of data is generated by different systems. Intelligent systems such asautonomous 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. LÄS MER

  2. 2. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :VASILIKI LAMPROUSI; [2021-04-01]
    Nyckelord :Object detection; machine learning; camera; sensors; semi-supervised learning;

    Sammanfattning : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems(ADAS) in the current and future generations of vehicles include a large numberof sensors which are used to perceive the vehicle’s surroundings. The productionsensors of these vehicles are verified and validated against reference data that areoriginated from high-accurate reference sensors that are placed in a reference roofbox at the top of the vehicle. LÄS MER

  3. 3. Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jawaria Asghar; [2021]
    Nyckelord :autonomous car; ego-vehicle; road geometry; estimation; Advanced Driver Assistance Systems; sensor fusion; Unscented Kalman Filter.;

    Sammanfattning : For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. LÄS MER

  4. 4. Vehicle Path Prediction Using Recurrent Neural Network

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Mim Kemal Tekin; [2020]
    Nyckelord :computer vision; autonomous driving; deep learning; uncertainty in deep learning;

    Sammanfattning : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. LÄS MER

  5. 5. Exploring Augmented Reality for enhancing ADAS and Remote Driving through 5G : Study of applying augmented reality to improve safety in ADAS and remote driving use cases

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Max Jan Meijer; [2020]
    Nyckelord :Augmented-reality; 5G; Advanced driver-assistance systems; Vehicle-to-vehicle; Vehicle-to-everything; Remote-driving; Eye-tracking; Internet-of-Things; Gaze;

    Sammanfattning : This thesis consists of two projects focusing on how 5G can be used to make vehicles safer. The first project focuses on conceptualizing near-future use cases of how Advanced Driver Assistance Systems (ADAS) can be enhanced through 5G technology. Four concepts were developed in collaboration with various industry partners. LÄS MER