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Showing result 1 - 5 of 11 essays matching the above criteria.
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1. Night Vision Goggle Simulation in a Mixed Reality Flight Simulator with Seamless Integrated Real World
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Night vision goggles (NVGs) are optical devices used to enhance human vision at low light conditions such as nighttime. The image seen through the goggles is brightened but with the consequence of introduced visual limitations and illusions. READ MORE
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2. Face Identification Using Eigenfaces and LBPH : A Comparative Study
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: With the rise of digitalization, there has been an increasing needfor secure and effective identification solutions, particularly in the realm of votingsystems. Facial biometric technology has emerged as a potential solution to combat fraud and improve the transparency and security of the voting process. READ MORE
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3. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware
University essay from KTH/DatavetenskapAbstract : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. READ MORE
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4. Security lighting in horse riding halls: Development of a simulation-led testing methodology in VR
University essay from Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljöAbstract : Security lighting plays a vital role for safe evacuation during an emergency such as power outage or a fire related incidence. Installing a security lighting system properly is more crucial for a horse riding facility for two reasons. READ MORE
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5. RGB-D Deep Learning keypoints and descriptors extraction Network for feature-based Visual Odometry systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature extractors in Visual Odometry pipelines rarely exploit depth signals, even though depth sensors and RGB-D cameras are commonly used in later stages of Visual Odometry systems. Nonetheless, depth sensors from RGB-D cameras function even with no external light and can provide feature extractors with additional structural information otherwise invisible in RGB images. READ MORE