Cycle path mapping with a custom hardware platform: Difference between revisions

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Contacts are:
Client: Steven Johnston, Microsoft Research <v-stejo@microsoft.com>
'Austin Donnelly' <Austin.Donnelly@microsoft.com>
'Scarlet Schwiderski-Grosche' <scarlets@microsoft.com>


Expecting two projects
The aim of this project is to produce a highly accurate map of the
Cambridge cycle network including information about inclines, one way
roads, restricted access.  Since this will require more data than can
be gathered using a simple GPS device or smartphone this project will
have a custom hardware element based around the .NET Gadgeteer
platform.  The first part of the project will build a device to
capture data such as GPS, accelerometer, compass, cadence, wheel
rotation, heart rate etc, to produce a sample dataset representative
of the Cambridge cycle network, as well as providing the cyclist with
relevant data.
 
The second part of the project will process and visualise the sample
dataset.  This will include removing erroneous data, fusing data
streams and maps to improve accuracy and inferring cycle features from
the data whilst keeping an emphasis on data accuracy.  This
information could be used to recommend cycle routes or diversions in
real time, assist with finding a bike rack, or perhaps the addition of
new cycle lanes.  The resulting dataset should be open and accessible.
 
Note that Gadgeteer development requires .NET tools, so the development language for this project will either be C# or VB.

Latest revision as of 13:01, 19 October 2012

Client: Steven Johnston, Microsoft Research <v-stejo@microsoft.com>

The aim of this project is to produce a highly accurate map of the Cambridge cycle network including information about inclines, one way roads, restricted access. Since this will require more data than can be gathered using a simple GPS device or smartphone this project will have a custom hardware element based around the .NET Gadgeteer platform. The first part of the project will build a device to capture data such as GPS, accelerometer, compass, cadence, wheel rotation, heart rate etc, to produce a sample dataset representative of the Cambridge cycle network, as well as providing the cyclist with relevant data.

The second part of the project will process and visualise the sample dataset. This will include removing erroneous data, fusing data streams and maps to improve accuracy and inferring cycle features from the data whilst keeping an emphasis on data accuracy. This information could be used to recommend cycle routes or diversions in real time, assist with finding a bike rack, or perhaps the addition of new cycle lanes. The resulting dataset should be open and accessible.

Note that Gadgeteer development requires .NET tools, so the development language for this project will either be C# or VB.