SLAM 算法传感器融合方法
fusion method of different SLAM algorithm
时间 | 方法 | Lidar | Camera | IMU | UWB | |
---|---|---|---|---|---|---|
2018 | V-LOAM | √ | √ | |||
2018 | VINS-Mono | √ | √ | |||
2019 | LIC-fusion | √ | √ | √ | Multi-State Constrained Kalman Filter (MSCKF) | |
2020 | LIC-fusion 2.0 | |||||
2021 | LVI-SAM | √ | √ | √ | * factor graph, Inertia 和 Lidar 子系可独立工作,一个子系统失效后另一个可以继续工作 | |
2021 | R2LIVE | √ | √ | √ | * 用 error-state iterated Kalman Filter(ESIKF) 优化 re-projection error 提高实时性 | |
2021.09 | R3LIVE | √ | √ | √ | * LIO (Lidar-Inertia-Odometry) 重建几何结构 * VIO (Video-Inertia-Odometry) 色彩渲染 |
|
2021 | Fast-LIO2 | √ | √ | |||