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Fuel level indication is an essential function in a car with the purpose of providing information about the fuel level to the driver at all times. In this thesis, different parameters are tested and evaluated to find the factors that can have an effect on fuel level indication. Tank volume, driving behaviour and fuel sloshing are evaluated as possible parameters. The results presented herein sugge
The topic of this thesis is inspired by an experiment in which a vessel, laying a submarine cable, was provided with forecasts overlaid with satellite observations of significant wave height. During the operation, the vessel was close to an adverse weather area and the personnel on board could confirm that the forecast was not as close to the "ground truth" as the satellite observation was.
Model-based analysis of in-cylinder pressure sensor signals has been a key component for internal combustion engine research, diagnostics and controller development during the past decades. This analysis is often based on simple thermodynamic models of the in-cylinder processes. In order for the analysis to give accurate results, the models need to be sufficiently calibrated. This paper investigat
Numerous location-based services (LBS) have evolved because of the fast development of mobile Internet for use in commerce, entertainment, security, and other areas. All of these need a precise real-time location-based service with smooth indoor- outdoor transition in highly populated areas. A truly omnipresent location system for both indoor and outdoor settings is still not accessible, despite t
The permanent magnet synchronous motor, PMSM, is an efficient electrical motor that has seen a greater prevalence in the automotive industry from the increasing demand for electrical vehicles. Managing the temperature of the permanent magnet rotor is important to optimize motor utilization and avoid hardware failures. Direct temperature measurements of the moving rotor with a sensor are, however,
Marine operations depend on the ability to forecast suddenly appearing storms and failures often cause great damage. As a part of a sea state alarm study, meteorological forecasts overlaid with satellite measurements sent to ships have been found to be a useful tool. In this paper we present a real-time assimilation algorithm that extends this tool using statistical methods. The algorithm is appli
In this letter, we analyze certain student's t-filters for linear Gaussian systems with misspecified noise covariances. It is shown that under appropriate conditions, the filter both estimates the state and re-scales the noise covariance matrices in a Kullback-Leibler optimal fashion. If the noise covariances are misscaled by a common scalar, then the re-scaling is asymptotically exact. We also co
Lane association is the problem of determining in which lane a vehicle is currently driving, which is of interest for automated driving where the vehicle must understand its surroundings. Limited to highway scenarios, a method combining data from different sensors to extract information about the currently associated lane is presented. The suggested method splits the problem in two main parts, la
Unmanned ground vehicles (UGVs) operating in uneven and unstructured terrain are often limited by fixed sensor mounting, which can reduce mapping quality, situational awareness, and sensor performance when the vehicle body experiences pitch, roll, and vertical motion. This thesis presents the development of a compact four-degree-of-freedom (4-DOF) gimbal prototype for a terrain-mapping module on a
We consider the problem of tool position and orientation state estimation for robot manipulators in workspace by sensor fusion of the internal robot joint measurements with inertial measurement unit data. A prerequisite for this to be successful is accurate calibration of the sensors used. Therefore, we discuss a method for calibration of the sensor with respect to the robot end-effector, which is
1. State space models are starting to replace more simple time series models in analyses of temporal dynamics of populations that are not perfectly censused. By simultaneously modelling both the dynamics and the observations, consistent estimates of population dynamical parameters may be obtained. For many data sets, the distribution of observation errors is unknown and error models typically chos
This paper studies the effects of stochastic time delays on automatic control systems which uses communication networks. We assume a linear process to be controlled and known delay probability distributions.The contribution of this paper is to extend the theory in(Nilsson 1998) to delays that may be longer than one sample period.Using a quadratic cost we find the optimal full-state-information con
