Average consensus algorithms are used in many distributed systems such as distributed optimization, sensor fusion and the control of dynamic systems. Consensus algorithms converge through an explicit exchange of state variables. In some cases, however, the state variables are confidential. In this paper, …

Poster presentation on conference Alice and Eve 2020.

The estimation of the pose of a differential drive mobile robot from noisy odometer, compass and beacon distance measurements is studied. The estimation problem, which is a state estimation problem with unknown input, is reformulated into a state estimation problem with known input and a process noise …

The aim of this study was to capture and understand the immediate recovery journey of patients following lumbar spinal fusion surgery and explore the interacting constructs that shape their journey. A qualitative study using Interpretive Phenomenological Analysis (IPA) approach. A purposive sample of …

This paper describes a calibration method for inertial and magnetic sensors using a batched optimization procedure. Well estab- lished sensor, motion and constraint models are applied which include sensor gains, biases, misalignments and inter-triad misalignments. For the magnetometer, hard and soft …

To better control the growing process of horticulture plants greenhouse growers need an automated way to efficiently and effectively find where diseases are spreading. The HiPerGreen project has done research in using an autonomous quadcopter for this scouting. In order for the quadcopter to be able …

To better control the growing process of horticulture plants greenhouse growers need an automated way to efficiently and effectively find where diseases are spreading.The HiPerGreen project has done research in using an autonomous quadcopter for this scouting. In order for the quadcopter to be able …

The author discusses how helicopters may fly autonomously using fuzzy logic, without crashing too often. He reviewes the added value of sensor fusion in military observation systems. Sensor fusion is motivated by the expected qualitative and quantitative improvement of observations and thus of situation …

The author illustrates how partial and soft decisions are aggregated via non-linear schemes. Fuzzy logic is used to formally describe sensor fusion. Although intuitively appealing, one may conclude that data fusion has not yet brought about the expected breakthrough. Several explanations for this can …