Data fusion is a data analysis technique and research area that provides a means for combining pieces of information from different sources or sensors. This generally results in a better overall system performance and can be seen in improved decision making, increased detection capabilities, improved reliability and fewer false alarms.
A multisensory data fusion system has three main components: sensors, sensor data processing and data fusion. Applications where data fusion is especially useful include security (both military and non-military), medical diagnosis, robotics, remote sensing and environmental monitoring.
Think of the human brain. Data fusion analysis works something along the same lines. Every second our brain monitors sensors such as eyes, ears, nose, etc., and processes the generated data. This data from our five senses working together allows us to immediately analyze a situation to make better decisions. If we had sight but not the sense of smell, for example, we wouldn’t be able to tell water from vinegar. In this way, the field of senor and data fusion reduces a level of uncertainty that couldn’t be achieved from sources used individually rather than collectively.
For military applications, the intelligence extracted from data fusion makes it easier for analysts to identify potential adversaries and their targets. By organizing and collecting large volumes of collected data, relevant patterns can be recognized using data fusion.
Another example of this developing Big Data application is GPS/INS where Global Positioning System and inertial navigation system data are fused using various methods such as the extended Kalman filter. The resultant data fusion produces an application useful for determining the altitude of an aircraft using low-cost sensors.
Data fusion has also successfully been used to get a better handle on traffic situations. Using a combination of data from road side collected acoustics, images and sensor data, traffic engineers can determine the traffic state in a given area at a given time and make adjustments to stop lights, etc.
Sensor and Data Fusion Training
Tonex offers a cutting edge 3-day Sensor and Data Fusion Training Bootcamp that covers technologies, tools and methods to automatically manage multi sensor data filtering, aggregation, extraction and fusing data useful to both intelligence analysts and war fighters. Topics covered include:
- Introduction to Data Fusion
- Principles of Sensor Fusion
- Real-time Sensor Fusion
- Multisensor Data Fusion
- Multilevel Data Fusion Modeling
- Multisensor Data Fusion Architecture, Design and Implementation
- Data Fusion and Activity-based Intelligence (ABI)
- Intelligence Analysis and Data Fusion
Who Should Attend
Project managers, product managers, software and systems engineers, EW and TDL operators, scientists, R&D, military and law enforcement.
Why Tonex?
–Personalization. Developers learn best when the course materials are relevant to them. That’s why for the past 30 years we have been customizing every learning solution we deliver to the backgrounds of the students, their roles, the project they are working on, as well as the development and production platforms they use.
–Relevancy. Other companies, with their off-the-shelf commodity training classes, are focused on what they offer — not what your team needs. Our learning solutions are focused on your people, project and productivity goals. When you work with Develop Intelligence, it’s all about you.
–Ratings tabulated from student feedback post-course evaluations show an amazing 98 percent satisfaction score.
–Reasonably priced classes taught by the best trainers is the reason all kinds of organizations from Fortune 500 companies to government’s most important agencies return for updates in courses and hands-on workshops
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