The WiFly is a localization framework that uses particle filters and relative WiFi Signal Strength to correct IMU integration.
To evaluate our algorithm our team built a low cost IMU/WiFi module that fit on the back of a Crazyflie 2.0 drone. When compared to the motion captured ground truth our algorithm results in a 45% improvement in localization over dead reckoning.
You can learn more about the project by clicking on the YouTube video here:
Our project is also available to download with the following links:
| The Team | ||||
|---|---|---|---|---|
| William Cohen | willcohe@umich.edu | GitHub | ||
| Hannah Denomme | denommhe@umich.edu | GitHub | ||
| Sam Gonzalez | samgonza@umich.edu | GitHub | Website | |
| Shubham Patil | pshubham@umich.edu | |||
| Ruifeng Xu | oldxrf@umich.edu | GitHub |