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Visar resultat 1 - 5 av 92 uppsatser som matchar ovanstående sökkriterier.
1. Approximating material area, volume,and velocity for belt conveyor systemapplications using 3D depth sensor technology
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Time of Flight (ToF) technology describes products or systems which measure distance by calculating the distance emitted light travels before bouncing off its surroundings and ending back up at the system. Since the early 2000s, many advancements in the area of ToF systems have been made leading to much use for the ToF variant LiDAR. LÄS MER
2. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. LÄS MER
3. Inverkan av skruvars installation på fuktinträngning i trä
Kandidat-uppsats, Lunds universitet/ByggproduktionSammanfattning : Wood and wood-based materials are common materials used in buildings, both in- and outdoors. However, wood is vulnerable to water and moisture which is why it is essential to keep it dry and prevent moisture from getting into the wood. LÄS MER
4. LoRa Based Moisture Sensing System
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : Water is an important parameter for crop growth, and the information about the moisture content in soil at different depths is very useful for farmers to determine the best time to water the soil and to irrigate farmland so as to maximize their yield. This thesis project aims to develop a prototype of a multi-depth moisture sensor probe that is part of a large sensing system used in agriculture. LÄS MER
5. Image and RADAR fusion for autonomous vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust detection, localization, and tracking of objects are essential for autonomous driving. Computer vision has largely driven development based on camera sensors in recent years, but 3D localization from images is still challenging. Sensors such as LiDAR or RADAR are used to compute depth; each having its own advantages and drawbacks. LÄS MER