Essays about: "Navigering"
Showing result 11 - 15 of 149 essays containing the word Navigering.
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11. Evaluation of Velocity Obstacle Approaches for Groups of Agents Navigating Everyday Scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As recent years have seen an increase in use of robotics in both public and private spaces, evaluations to ensure safe and efficient navigation through common scenarios are needed. The same evaluations can improve simulations of human behaviour used in for example evacuation simulations. READ MORE
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12. MmWave Radar-based Deep Learning Collision Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE
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13. 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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14. 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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15. Forecasting UAS capability with a five-year timeframe
University essay from FörsvarshögskolanAbstract : During the war in Ukraine, technical and tactical innovation in the deployment of commercial drones for IRS and strike missions, and artillery spotting have been witnessed. This study aims to create a better understanding of evolving UAS capability and create a use-case forecasting UAS capability in five years. READ MORE
