AUTONOMOUS SURFACE VEHICLE(ASV) MyAsia Reid1, Linda Kpormone Buame2, Amadi Sefah-Twerefour2, Prosper Yaw Adiku2, George Owusu Fordah2 Ben Panzer, Jerome Mitchell, Kyle Byers and Dr. Eric Akers, Center for Remote Sensing of Ice Sheets (CReSIS), - PowerPoint PPT Presentation

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AUTONOMOUS SURFACE VEHICLE(ASV) MyAsia Reid1, Linda Kpormone Buame2, Amadi Sefah-Twerefour2, Prosper Yaw Adiku2, George Owusu Fordah2 Ben Panzer, Jerome Mitchell, Kyle Byers and Dr. Eric Akers, Center for Remote Sensing of Ice Sheets (CReSIS),

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AUTONOMOUS SURFACE VEHICLE(ASV) MyAsia Reid1, Linda Kpormone Buame2, Amadi Sefah-Twerefour2, Prosper Yaw Adiku2, George Owusu Fordah2 Ben Panzer, Jerome Mitchell ... – PowerPoint PPT presentation

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Title: AUTONOMOUS SURFACE VEHICLE(ASV) MyAsia Reid1, Linda Kpormone Buame2, Amadi Sefah-Twerefour2, Prosper Yaw Adiku2, George Owusu Fordah2 Ben Panzer, Jerome Mitchell, Kyle Byers and Dr. Eric Akers, Center for Remote Sensing of Ice Sheets (CReSIS),


1
AUTONOMOUS SURFACE VEHICLE(ASV) MyAsia
Reid1, Linda Kpormone Buame2, Amadi
Sefah-Twerefour2, Prosper Yaw Adiku2, George
Owusu Fordah2 Ben Panzer, Jerome Mitchell, Kyle
Byers and Dr. Eric Akers, Center for Remote
Sensing of Ice Sheets (CReSIS), University of
Kansas, Lawrence, KS 66045 1Elizabeth City State
University, Elizabeth City, N C 27909
2Department of Oceanography Fisheries,
University of Ghana LG 99 Legon-Accra.
Abstract




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Sensors such as the Moderate Resolution Imaging
Spectroradiometer(MODIS) and Sea-viewing Wide
Field of View Sensor(SeaWiFS),require limited
human efforts in acquiring data on water quality.
However, these have associated errors with
calibration due to the assumption of uniformity
in pixel data. Surface vehicles with GPS have the
capability of resolving this uncertainty by
collecting geographically referenced data to
enable accurate tracking of changes within and
between pixels. The purpose of this research was
to build a prototype surface (Autonomous Surface
Vehicle) that can navigate and collect continuous
water samples in order to complement data from
MODIS and SeaWiFS. The vehicle is routed using
gyro and GPS, motor control, coordination of
temperature sensor for data storage by an SD card
is performed by a programmed microcontroller
board. Testing was carried out on a pond close to
the center(CReSIS) and data on temperature was
collected from GPS locations.Future work would
focus on increasing sensor integrations and
enabling buoy mode to allow for multiple data
sets to make results more meaningful.

Figure 9.Graph showing temperature of various
locations at Clinton Lake
Figure 4. ASV system layout
Figure 5. Components arranged in ASV
Figure 6. Connections with battery
Figure 1.Motorcontrollers
Figure 8. Testing ASV at Clinton Lake
Figure 7. ASV on land
Figure 3. GPS shield and module
Figure 2. Micro controller
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