Sensor fusion is a method of integrating signals from multiple … In many cases sources of
information are sensors or other … -sensors is processed using “sensor fusion” or “data fusion” …

… with numerous commercial sensors. We also summarize the three main approaches to
sensor fusion and review current state-of-the-art multi-sensor fusion techniques and algorithms …

… This paper gives an overview over the basic concepts of sensor fusion. First we investigate
… of sensor fusion. The next sections present a survey on architectures for sensor fusion and …

… sensor fusion approaches are adopted. The purpose of this section is to draw a categorization
of the different types of sensor fusion … fusion is the most common form of sensor fusion. …

… in multi-sensor fusion. We have surveyed papers related to fusion and classified them
into six categories: scene segmentation, representation, 3-D shape, sensor modelin autonomous …

… Sensor fusion deals with Merging information from two or more sensors. Elsewhere the
area of statistical signal processing provides a powerful toolbox to attack bothering theoretical …

… sensors and sensor fusion in autonomous vehicles. We focused on the sensor fusion from the
key sensors … It is shown that including more sensors into sensor fusion system benefits with …

… techniques for sensor fusion in robot navigation, emphasizing algorithms for self-location.
These find use when the sensor suite of a mobile robot comprises several different sensors, …

… a brief overview of the development of sensor fusion in various application in recent years,
and to understand the challenges and ability of sensor fusion. Various algorithms that are …

… sensors in the form of a distributed low-pass filter called the Consensus Filter. The role of this
consensus filter is to perform distributed fusion of sensor … for distributed sensor fusion. The …