Sökning: "Tröghetssensor"
Visar resultat 1 - 5 av 10 uppsatser innehållade ordet Tröghetssensor.
1. Low-Cost Autonomous Vehicle using Off-Board Sensors Connected over 5G : Extension of an Autonomous Vehicle’s operational domain design
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous vehicles perceive their environment based on several sensors that are onboard the vehicle. These sensors constantly monitor the vehicle’s movement as well as the environment. There is a wide variety of sensors that can be utilized based on the type of data it provides, accuracy and cost. LÄS MER
2. Self-Stabilizing Platform
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This project explores the possibility to stabilize a hand held serving-tray using a micro-controller, two servomotors and an inertial measurement unit (IMU). It is heavily focused on control theory, specifically using a PID controller. LÄS MER
3. Evaluation of Bluetooth 5.1 as an Indoor Positioning System
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : There is a high demand for Indoor Positioning Systems (IPS) due to the wide application possibilities. The main issue for localization by wireless signals in an indoor environment is the multipath propagation problem. Multipath propagation occurs when signals reflects and refract from an object, changing the signals characteristics. LÄS MER
4. Gait verification using deep learning models, accelerometers and gyroscope data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Biometrical authentication systems, with its advantages over the traditional methods such as tokens and cards combined with secret passwords and pins, are becoming popular these days. In addition recent advances in machine learning helped improve the performance of biometrical systems, that can now be used commercially. LÄS MER
5. Domain Adaptation of IMU sensors using Generative Adversarial Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous vehicles rely on sensors for a clear understanding of the environment and in a heavy duty truck, the sensors are placed at multiple locations like the cabin, chassis and the trailer in order to increase the field of view and reduce the blind spot area. Usually, these sensors perform best when they are stationary relative to the ground, hence large and fast movements, which are quite common in a truck, may lead to performance reduction, erroneous data or in the worst case, a sensor failure. LÄS MER