Difference between revisions of "Indoor Localization using NuZoo base station"
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The problem issued is the one of localization in and indoor environment. | The problem issued is the one of localization in and indoor environment. | ||
For this purpose 10 base station and a beacon (i.e the 'transponder' to be localized) provided by NuZoo will be used. | For this purpose 10 base station and a beacon (i.e the 'transponder' to be localized) provided by NuZoo will be used. | ||
+ | |||
+ | ===What we use=== | ||
+ | * Basestation ITT 2.0 based on active RFID. | ||
+ | * C/C++ scripting. | ||
+ | * Extended Kalman algorithm (EKF) adapted for 2D. | ||
+ | * Matlab for simulation. | ||
+ | |||
+ | ==External Links== | ||
+ | Repository of the [https://github.com/luca-morreale/indoor-localization project]. |
Latest revision as of 20:29, 11 May 2016
Indoor Localization using NuZoo base station
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Short Description: | The goal is to perform indoor localization using low frequency base station |
Coordinator: | MatteoMatteucci (matteo.matteucci@polimi.it) |
Tutor: | |
Collaborator: | |
Students: | AlbertoGasparin (alberto.gasparin@mail.polimi.it), LucaMorreale (luca.morreale@mail.polimi.it) |
Research Topic: | Indoor Localization |
Start: | 2016/05/10 |
Level: | Ms |
The Project in short
The problem issued is the one of localization in and indoor environment. For this purpose 10 base station and a beacon (i.e the 'transponder' to be localized) provided by NuZoo will be used.
What we use
- Basestation ITT 2.0 based on active RFID.
- C/C++ scripting.
- Extended Kalman algorithm (EKF) adapted for 2D.
- Matlab for simulation.
External Links
Repository of the project.