Search for dissertations about: "driving automation"

Showing result 21 - 25 of 101 swedish dissertations containing the words driving automation.

  2. 21. Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty

    Author : Joonatan Mänttäri; John Folkesson; Michael Felsberg; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Trajectory Prediction; Computer Vision; Autonomous Driving; Deep Learning; Interpretability; Computer Science; Datalogi;

    Abstract : Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full autonomy. Self-driving cars introduce many advantages, including increased traffic safety and added ride-sharing capabilities which reduce environmental effects. READ MORE

  4. 22. State estimation with auto-calibrated sensor setup

    Author : Sandipan Das; Saikat Chatterjee; Isaac Skog; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SLAM; Sensor calibration; Autonomous driving; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Localization and mapping is one of the key aspects of driving autonomously in unstructured environments. Often such vehicles are equipped with multiple sensor modalities to create a 360o sensing coverage and add redundancy to handle sensor dropout scenarios. READ MORE

  5. 23. Predicting Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning Methods

    Author : Chi Zhang; Göteborgs universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Automated driving; pedestrian behavior; pedestrian trajectory prediction; deep learning; social interaction; pedestrian-vehicle interaction; urban traffic; urban traffic;

    Abstract : Background: The statistics on global road safety show a great demand for reducing the fatalities caused by pedestrian-vehicle collisions. By utilizing artificial intelligence such as deep learning, human drivers can be supported by better driver assistance systems, and thereby the fatalities caused by human errors can be reduced. READ MORE

  6. 24. Deep Learning Applications for Autonomous Driving

    Author : Luca Caltagirone; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; computer vision; deep learning; autonomous driving; robotic perception and planning;

    Abstract : This thesis investigates the usefulness of deep learning methods for solving two important tasks in the field of driving automation: (i) Road detection, and (ii) driving path generation. Road detection was approached using two strategies: The first one considered a bird's-eye view of the driving scene obtained from LIDAR data, whereas the second carried out camera-LIDAR fusion in the camera perspective. READ MORE

  7. 25. Transportation Mission-Based Optimization of Heavy Combination Road Vehicles and Distributed Propulsion, Including Predictive Energy and Motion Control

    Author : Toheed Ghandriz; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automation; electrified propulsion; long combination vehicles; electromobility; propulsion system tailoring; automated driving systems; optimal control; single-track and two-track vehicle models; predictive energy management and vehicle stability; motion control; longer heavier vehicles; vehicle stability; optimal energy management; total cost of ownership; optimization; transportation mission; heterogeneous heavy vehicle fleet; fleet sizing;

    Abstract : This thesis proposes methodologies to improve heavy vehicle design by reducing the total cost of ownership and by increasing energy efficiency and safety. Environmental issues, consumers expectations and the growing demand for freight transport have created a competitive environment in providing better transportation solutions. READ MORE