Essays about: "Monocular"
Showing result 16 - 20 of 77 essays containing the word Monocular.
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16. 3D Privacy Masking using Monocular Depth Estimation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis strives to dive deeper within the area of Monocular Depth Estimation, approximating distance information from one single image using deep neural networks. It introduces a thorough evaluation and analysis of state-of-the-art depth estimation models regarding proposed aspects of relevance for downstream video applications, specifically in a surveillance domain. READ MORE
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17. Monocular depth estimation for level assessment in an industrial waste management environment : A thesis within smart waste management
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : With the transition to Industry 4.0, actors in many industries face challenges such as how to successfully implement technical solutions and retain competitiv eadvantages. In the smart waste management sector, many solutions have been presented in how to create effecient sensors but a practical way of comparing these solutions is non-existent. READ MORE
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18. SLAM Hardware & Software optimization for mobile platform integration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis work will focus on the optimization of a state-of-the-art monocular Visual-Inertial Odometry (VIO) algorithm for real-time application with limited resources on an embedded system. We will be using a multi-processor unit equipped with a Digital Signal Processor (DSP) to accelerate and offload tasks from the CPU. READ MORE
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19. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. READ MORE
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20. Unsupervised Learning for Structure from Motion
University essay from Linköpings universitet/DatorseendeAbstract : Perception of depth, ego-motion and robust keypoints is critical for SLAM andstructure from motion applications. Neural networks have achieved great perfor-mance in perception tasks in recent years. But collecting labeled data for super-vised training is labor intensive and costly. READ MORE
