This paper presents a methodology to design sensor fusion parameters using real performance indicators of navigation in UAVs based on PixHawk flight controller and peripherals. This methodology and the selected performance indicators allows to find the best parameters for the fusion system of a determined configuration of sensors and a predefined real mission. The selected real platform is desc...

215 INTRODUCTION Sensor and Data Fusion The term “sensor and data fusion” refers to techniques that combine data from multiple sources to produce new information and inferences and achieve more complete, clear, precise, accurate, and timely estimates pstream data fusion (UDF) refers to the processing, exploitation, and fusion of sensor data as closely to the raw sensor data feed as possible. Up...

Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large individual variations sensitivity to different physiological sensors could also vary. Therefore, multiple sensor signal fusion is valuable to provide m...

Today multiple multi-sensor airborne surveillance systems are available which comprises of primary radar and secondary surveillance radar as the active sensor on board. The electronics and communication support measure system (ECSMS) will aid in identification, detection and classification of targets. These systems will detect, identify, classify the different threats present in the surveillanc...

Past experiences tell us that a disaster warning and response system can improve its surveillance coverage of the threatened area and situation awareness by supplementing in-situ and remote sensor data with human sensor data captured and sent by people in the area. This paper is concerned with fusion and processing methods with which the system can make use of human sensor data and physical sen...