Search for dissertations about: "Self-driving vehicles"
Showing result 1 - 5 of 27 swedish dissertations containing the words Self-driving vehicles.
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1. Exploring societal impacts of self-driving public transport using four-step transport models
Abstract : During the last decade, self-driving technology has become increasingly visible in the news, with the vision that people would enter vehicles that drive themselves, and that people could instead rest, read the newspaper, or have a meeting. However, these visions have mainly focused on the potential for car usage, even though public transport could benefit greatly from self-driving technology. READ MORE
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2. Towards Robust Visual Localization in Challenging Conditions
Abstract : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. READ MORE
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3. Towards Robust Visual Localization in Challenging Conditions
Abstract : Visual localization is a fundamental problem in computer vision, with a multitude of applications in robotics, augmented reality and structure-from-motion. The basic problem is to, based on one or more images, figure out the position and orientation of the camera which captured these images relative to some model of the environment. READ MORE
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4. Localization for Autonomous Vehicles
Abstract : There has been a huge interest in self-driving cars lately, which is understandable, given the improvements it is predicted to bring in terms of safety and comfort in transportation. One enabling technology for self-driving cars, is accurate and reliable localization. READ MORE
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5. Data-Driven Interaction-Aware Behavior Prediction for Autonomous Vehicles
Abstract : Future progress toward the realization of fully self-driving vehicles still re-quires human-level social compliance, arguably dependent on the ability to accurately forecast the behavior of surrounding road users. Due to the inter-connected nature of traffic participants, in which the actions of one agent can significantly influence the decisions of others, the development of behavior pre-diction methods is crucial for achieving resilient autonomous motion planning. READ MORE