Showing result 1 – 5 of 27 swedish dissertations containing the words issue tracking thesis.

1. Models and Algorithms – with applications to vehicle tracking and frequency estimation

University dissertation from Chalmers University of Technology

Abstract. This thesis considers two different research problems; one concerned with the issue of tracking vehicles and one related to estimating frequencies in harmonic signals. The vehicle-tracking problem is addressed from the perspective of an automotive-safety application, which seeks to monitor the course of surrounding road users with the objective to make decisions regarding if, how and when to intervene. READ MORE

2. Data Filtering and Control Design for Mobile Robots

University dissertation from Stockholm. KTH

Abstract. In this thesis, we consider problems connected to navigation and tracking for autonomousrobots under the assumption of constraints on sensors and kinematics. We study formation controlas well as techniques for filtering and smoothing of noise contaminated input. The scientific contributions of the thesis comprise five papers. READ MORE

3. Particle filtering for positioning and tracking applications

University dissertation from Linköping, Sweden. Linköping University Electronic Press

Abstract. A Bayesian approach to positioning and tracking applications naturally leads to a recursive estimation formulation. The recently invented particle filter provides a numerical solution to the non-tractable recursive Bayesian estimation problem. As an alternative, traditional methods such as the extended Kalman filter. READ MORE

4. Driver-Vehicle Interaction Identification, Characterization and Modelling of Path Tracking Skill

University dissertation from Stockholm.

KTH

Abstract. Since the dawn of the automobile, driver behaviour has been an issue. Driving can result in accidents that may harm not only the driver but also passengers and the surroundings. This calls for measures that restrict the usage of vehicles and to assist the individual driver to conduct the driving in a safe, yet practically efficient manner. READ MORE

5. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home

University dissertation from Chalmers University of Technology

Abstract. This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The main reasons for adopting visual-information based methods are due to: (i) vision plays a major role in recognition/classification of activities which is a fundamental issue in a human-centric system; (ii) visual sensor-based analysis may possibly offer high performance with minimum disturbance to individuals’ daily lives. READ MORE