| ydsf16/imu_gps_localization |
443 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
|
C++ |
| Using error-state Kalman filter to fuse the IMU and GPS data for localization. |
| facebookresearch/habitat-challenge |
251 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
mit |
Python |
| Code for the habitat challenge |
| pytrainer/pytrainer |
124 |
|
0 |
0 |
about 2 years ago |
0 |
|
30 |
gpl-2.0 |
Python |
| Pytrainer is a tool to log all your sport excursion coming from GPS devices (with a focus on ForeRunner) or GPX (http://www.topografix.com) files. Pytrainer supports GPS track files and displays it in graphs, maps... |
| TurtleZhong/Map-based-Visual-Localization |
122 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
|
| A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors. |
| gisbi-kim/SC-A-LOAM |
119 |
|
0 |
0 |
over 4 years ago |
0 |
|
5 |
|
C++ |
| Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization. |
| ethz-asl/ethz_piksi_ros |
78 |
|
0 |
0 |
almost 3 years ago |
0 |
|
9 |
other |
C++ |
| ROS drivers for the Piksi RTK GPS module |
| awerries/kalman-localization |
48 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
other |
Matlab |
| MATLAB implementation of localization using sensor fusion of GPS/INS through an error-state Kalman filter. |
| Arcanain/gnss_imu_odom_ESKF |
35 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
C++ |
| Self-position estimation by eskf by measuring gnss and imu |
| nisargnp/DeadReckoning |
33 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Java |
| Real-time localization on Android phones using inertial sensors (accelerometer, compass, gyro) |
| nesl/agrobot |
32 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
bsd-3-clause |
Jupyter Notebook |
| Neural-Kalman GNSS/INS Navigation for Precision Agriculture |
