| ucla-vision/xivo |
749 |
|
0 |
0 |
about 3 years ago |
0 |
|
14 |
other |
C++ |
| X Inertial-aided Visual Odometry |
| vectr-ucla/direct_lidar_odometry |
642 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
C++ |
| [IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization. |
| rpng/R-VIO |
636 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
gpl-3.0 |
C++ |
| Robocentric Visual-Inertial Odometry |
| koide3/hdl_localization |
570 |
|
0 |
0 |
about 3 years ago |
0 |
|
52 |
bsd-2-clause |
C++ |
| Real-time 3D localization using a (velodyne) 3D LIDAR |
| MapIV/eagleye |
561 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
bsd-3-clause |
C++ |
| Precise localization based on GNSS and IMU. |
| 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. |
| mbrossar/ai-imu-dr |
439 |
|
0 |
0 |
over 4 years ago |
0 |
|
15 |
mit |
Python |
| AI-IMU Dead-Reckoning |
| PetWorm/LARVIO |
398 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
|
C++ |
| A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter. |
| vectr-ucla/direct_lidar_inertial_odometry |
339 |
|
0 |
0 |
over 2 years ago |
0 |
|
6 |
mit |
C++ |
| [IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction. |
| weisongwen/UrbanNavDataset |
169 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
|
| UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong |
