NIMS Localization

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NIMS Localization
Andrea Coba Joshua Nogales
Andre Encarnacao
Akhi Singhania
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Recap of previous presentation

• Current method of locating the NIMS node is
  extremely time consuming.
• Our job is to find a method which automates the
  current process, making it more efficient and
  accurate.
• We decided upon using a reflectivity sensor which
  will be attached to the shuttle and pieces of
  black gaffer tape which will be on the static
  cable.
• The sensor responds to the gaffer tape, so we
  will find the nodes location by writing an
  algorithm that will use the sensors output when
  it comes near a piece of tape, as the shuttle
  traverses the static cable.

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Check List

• Installed the analog to digital converter and
  learned how to use it.
• Attached the sensor to the shuttle and performed
  tests.
• Created Python program to detect tape and output
  various data and in different manners

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Data Gathered
Velocity 1
Velocity 2
Velocity 4
Velocity 5
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Problems Solutions

• Bumps due to high acceleration
• Use normal acceleration
• Sensor transition time from 5 to 0 Volts
• Can only have sensor detect when moving slowly
• Errors due to serial and ADC connections
• Error checking in programs
• NIMS small distance inaccuracies
• Change algorithm for detecting

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What next?

• Create automated calibration program
• Finalize algorithm
• Right Triangle Test
• Deployment at UCLA

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Big Picture

• We are providing an automated solution for
  locating the NIMS Node accurately.
• Will in turn make it possible for NIMS to perform
  data sampling much faster and easier
• And therefore, helps CENS achieve their vision of
  pervasive monitoring of environments.

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