Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion. ICCA 2018
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion. ICCA (International Conference on Control and Automation) 2018, Anchorage, USA. Jiaxin Li, Yingcai Bi, Kun Li, Kangli Wang, Feng Lin, Ben M. Chen
@article{li2018accurate,
title={Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion},
author={Li, Jiaxin and Bi, Yingcai and Li, Kun and Wang, Kangli and Lin, Feng, and Chen, Ben M.},
journal={arXiv preprint arXiv:1807.10913},
year={2018}
}
More codes are comming...
Link to rosbag. Provides IMU, UWB, VICON measurements
UWB anchor positions are acquired by Least Square Optimization over the measurements between each pair of UWB anchors, in NWU coordinate.
anchor_list: [101, 102, 103, 104, 105, 106]
anchor_101: [0, 0, 0]
anchor_102: [6.09394, 8.20272e-05, 0.00105595]
anchor_103: [0.161215, 6.21084, -0.0104368]
anchor_104: [5.65533, 5.99776, 2.55325]
anchor_105: [5.9612, 0.178178, 2.54669]
anchor_106: [-0.257302, 3.58951, 2.5628]
A ROS based library to perform localization for robot swarms using Ultra Wide Band (UWB) and Inertial Measurement Unit (UWB).
The algorithm has been deployed to a multiple drone light show performace in Changi Exhibition Center of Singapore, during the opening ceremony of Unmanned System Asia 2017, Rotorcraft Asia 2017. Video link can be found here.
Features:
C++/ROS based driver for TimeDomain UWB sensors.
Localization algorithms to perform real-time UWB and IMU fusion.
Least square optimization to determine the 3D position of the anchors. Depends on the Ceres Solver.