Essays about: "Local Navigation"
Showing result 1 - 5 of 38 essays containing the words Local Navigation.
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1. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. READ MORE
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2. The ecological impact of artificial light at night in landscape architecture : strategies and guidelines for street lights for the benefit of biodiversity and local wildlife
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : Artificial light at night (ALAN) is an increasingly common form of light pollution that contributes to biodiversity loss, loss of dark habitats, disrupting populations both on an individual- and population level by invading biodiversity hot spots. Recent studies show that artificial light is increasing at a rate of approximately 6% annually over Earth’s surface, and 88% of Europe and 47% of the United States experience light pollution on a nightly basis. READ MORE
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3. Velocity Obstacle method adapted for Dynamic Window Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. READ MORE
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4. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE
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5. Skyline Delineation for Localization in Occluded Environments : Improved Skyline Delineation using Environmental Context from Deep Learning-based Semantic Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses the problem of improving the delineation of skylines, also referred to as skyline detection, in occluded and challenging environments where existing skyline delineation methods may struggle or fail. Delineated skylines can be used in monocular camera localization methods by comparing delineated skylines to digital elevation model data to estimate a position based on known terrain. READ MORE
