Sökning: "sensor data fusion"
Visar resultat 21 - 25 av 69 avhandlingar innehållade orden sensor data fusion.
21. On Sensor Fusion Applied to Industrial Manipulators
Sammanfattning : One of the main tasks for an industrial robot is to move the end-effector in a predefined path with a specified velocity and acceleration. Different applications have different requirements of the performance. For some applications it is essential that the tracking error is extremely low, whereas other applications require a time optimal tracking. LÄS MER
22. Intelligent System Designs : Data-driven Sensor Calibration & Smart Meter Privacy
Sammanfattning : Nowadays, the intelligent system has gained high popularity in successful implementation of real-time tasks due to its capability of providing efficient and powerful decision making in real applications. In this thesis, we aim for exploring and exploiting different concepts or methods to handle different tasks towards the intelligent system design. LÄS MER
23. Mapping and Merging Using Sound and Vision : Automatic Calibration and Map Fusion with Statistical Deformations
Sammanfattning : Over the last couple of years both cameras, audio and radio sensors have become cheaper and more common in our everyday lives. Such sensors can be used to create maps of where the sensors are positioned and the appearance of the surroundings. LÄS MER
24. Filtering and modelling for automotive safety systems
Sammanfattning : This thesis makes five important contributions to the development of an automotive safety system: filtering algorithms, three modelling frameworks concerning the usage of radar detections in tracking, vehicle motion, and decision-making for intervention decisions, and finally the implementation architecture.In the filtering context, we have developed a new sigma-point method for estimating the moments of a transformed Gaussian random variable. LÄS MER
25. Approaches to Interactive Online Machine Learning
Sammanfattning : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. LÄS MER