Sökning: "degrees of navigation"
Visar resultat 6 - 10 av 29 uppsatser innehållade orden degrees of navigation.
6. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. LÄS MER
7. Deep Monocular Visual Odometry for fixed-winged Aircraft : Exploring Deep-VO designed for ground use in a high altitude aerial environment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In aviation, safety is a big concern. Knowing the position of an aircraft at all times is of high importance. Today most aircraft utilize Global Navigation Satellite Systems (GNSS) for localization and precision navigation because of the small position error which do not increase over time. LÄS MER
8. Real Time Lidar and ICP-Based Odometry in Dynamic Environments
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : A robust and highly accurate positioning system is required to transition to fully autonomous vehicles in society. This thesis investigates the potential for lidar sensors to be a part of a localization system, adding redundancy in case of an outage in a global navigation satellite system GNSS. LÄS MER
9. A platform for multi-video learning content in emergency-related educational scenarios
Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Utilizing multiple videos is an upcoming approach for developing learning material. It consists of recording scenes from different perspectives using diverse recording approaches, for example, 360-degrees camera, a drone camera, and body cameras. LÄS MER
10. Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. LÄS MER