Essays about: "Image-based"
Showing result 1 - 5 of 125 essays containing the word Image-based.
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1. Enhancing path following drone : using image-based sensor matrix
University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapAbstract : Drones are a fascinating form of transport and have the potential to dominate transportation in the future. Drones are usually faster and are unstable when flying in the air. Drones can be automated in many ways to realize various applications, one of which is a path following drone. READ MORE
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2. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE
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3. Image-Based Classification Solutions for Robust Automated Molecular Biology Labs
University essay from KTH/Medicinteknik och hälsosystemAbstract : Single-cell genomics (SCG) are methods for investigating heterogeneity between biological cells, among these is Smart-seq which sequences from RNA molecules. A more recent version of this method is Smart-seq3xpress which is currently in the process of being automated by the Sandberg lab at Karolinska Institutet. READ MORE
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4. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. READ MORE
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5. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE