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Presented By

M. Sai Varun kumar ReddyH.NO-O8COlAO462

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MultiSensor Fusion &Integration

Multi Sensor Fusion and Integration Operation:

Operation of multi sensor fusion is tocombine data obtained from homogeneousor heterogeneous sensors.

Integration may be said as synergistic useof the information provided by multiplesensors.

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Various Fusion Types Fusion across sensors.

a number of sensors nominally measure the

same property, for example, a number oftemperature sensors measuring the temperatureof an object.

Fusion across attributes.

a number of sensors measure different quantitiesassociated with the same experimental situation,

for example, visual, pressure, sound

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Fusion across domains.a number of sensors used to measure the same

attribute over a number of different ranges ordomains, e.g., visual sensing using normalvideo cameras and IR cameras.

Fusion across time.

current measurements are fused with historical

information, for example, Only the currentinformation is not sufficient to determine thesystem accurately and historical informationhas to be incorporated to determine the systemaccurately, for example, in video tracking.

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Data Level Fusion

Direct fusion of sensor data

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Feature Level Fusion

Representation of sensor data via featurevector, with subsequent fusion of feature

vector feature i.e., selection/reduction needs to

be done to take care of the curse-of-

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Decision Level Fusion

Processing of each sensor to achieve high-level inferences or decisions, with

subsequent combination of the high-level

results

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Comparison between Data,Feature and Decision Level

Fusion

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Advantages of Multisensor

Fusion Improves system performance.

Improves detection, tracking and

identification. Improves robustness.

Shorter response time.

Reduced communication andcomputing.

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Applications - MilitaryDetection, location , tracking and

identification of military entities.

Sensors: radar, sonar, infrared, syntheticaperture radar (SAR), electro-optic imagingsensors .

A t N

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App cat ons - Non-military Air traffic controlLaw enforcementHomeland securityMedical diagnosis

RoboticsManufacturingHazardous workplace

Remote sensing

Crops

Weather patternsEnvironmentMineral resourcesBuried hazardous waste

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Wireless

Channel

Digital Image Processing application

WithoutFusion(Direct)

After Fusion

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Some Ongoing Research

ProjectsVideo Surveillance

Tracking

Activity RecognitionMulti-modal Fusion

Fusion for Detection/Classification/Tracking

Wireless Sensor Networks

Vehicle Health Management

Environmental Quality Systems

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Conclusion:Multisensor fusion and integration is a

technique to get a better output or result bycombining the outputs of more than oneSensors. It has a very wide range ofapplications and hence a require moredevelopment in this field.

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Thank You

Any Queries?!