10-03-2012, 05:21 AM
help me to get the needful..i searched the ppt but i couldn't find it..so pls pls pls help meee..
10-03-2012, 05:21 AM
help me to get the needful..i searched the ppt but i couldn't find it..so pls pls pls help meee..
10-03-2012, 02:23 PM
to get information about the topic "multisensor fusion and integration" full report ,ppt and related topic refer the link bellow
https://seminarproject.net/Thread-multis...nar-report https://seminarproject.net/Thread-multis...tion--2341 https://seminarproject.net/Thread-semina...ntegration https://seminarproject.net/Thread-multis...0#pid61110 https://seminarproject.net/Thread-multis...ion--24697
01-08-2012, 05:01 PM
Multi Sensor Fusion and Integration
1Multi Sensor.pptx (Size: 231.74 KB / Downloads: 118) Introduction Sensor is a device that detects or senses the value or changes of value of the variable being measured. The term sensor some times is used instead of the term detector, primary element or transducer. Data fusion techniques combine data from multiple sensors, and related information from associated databases. To achieve improved accuracies and more specific inferences than could be achieved by the use of a single sensor alone. The fusion of information from sensors with different physical characteristics, such as light, sound, etc Enhances the understanding of our surroundings and provides the basis for planning, decision making, and control of autonomous and intelligent machines. Sensor & Its evolution A sensor is a device that responds to some external stimuli and then provides some useful output. With this concept of input and output, one can begin to understand how sensors play a critical role in both closed and open loops. Sensors are respond to variety of stimuli applied on it without being able to differentiate one from another. Sensors are so important in automated manufacturing particularly in robotics. Automated manufacturing is essentially the procedure of removing human element as possible from the manufacturing process. Sensors in the condition measurement category sense various types of inputs, condition, or properties to help monitor and predict the performance of a system. Properties of Sensor Ideal Sensor Appropriate sensitivity and selectivity. Fast and predictable response. High signal to noise ratio. Immunity to environment. Non-ideal Sensor If the output signal is not zero when the measured property is zero, the sensor has an offset or bias. This is defined as the output of the sensor at zero input. If the sensitivity is not constant over the range of the sensor, this is called nonlinearity. If the deviation is caused by a rapid change of the measured property over time, there is a dynamic error. This can be showed by bode plot. Multi Sensor Fusion & Integration (MFI) Multi Sensor Fusion The fusion of data or information from multiple sensors or a single sensor over time can takes place at different levels of representation. Multi Sensor Integration Multisensor integration is the synergistic use of the information provided by multiple sensory devices to assist in the accomlishment of a task by a system. A sensor model represents the uncertainty and error in the data from each sensor and provides a measure of its quality that can be used by the subsequent integration functions. |
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