Comments (4)
You're right. This is the main difference between SLAM and VIO. Although you may find that some VINS also call itself VIO, it is actually implemented on the SLAM framework because of jointly estimating the features.
from r-vio.
那您觉得除了保存3d landmark之外比较好的一个解决方案是什么呢?
from r-vio.
First of all, this actually depends on your application, because the key point is whether you need an IMU for estimation, because as compared with camera usually it is hard to handle IMU noise when it is stationary. So if you are doing structure from motion (no scale) then the visual SLAM is good enough, like the orb_slam you mentioned. While, if you want to do the navigation then the R-VIO here only provides the functionality of motion tracking, and a visual-inertial SLAM system will be an ultimate solution which I am now working on.
from r-vio.
好的,谢谢~
from r-vio.
Related Issues (20)
- About the algorithm‘s harmful and unbelievable drifting when it worked in several static situations below HOT 6
- Please excuse me. Some questions about algorithmic equation deducing and a certain experiment operation details. HOT 2
- Running R-VIO on the Kitti dataset HOT 9
- Are the urban dataset available?
- No visualization is seen in RVIZ HOT 3
- Question about the Ω(w) Matrix. HOT 1
- Question About the F matrix in code. HOT 4
- Some tips about the propagate euqation HOT 3
- Question about the Integration estimate HOT 5
- 关于初始化问题的了解 HOT 1
- run error ubuntu18.04 HOT 2
- Question about the update. HOT 2
- Question about the urban driving dataset
- PUBLISH RATE SLOW OF VIO(px4_realsense_bridge_node)
- Question about the trick R-VIO used in the real environment. HOT 2
- Question about the IMU Propagation using Robocentric formulation HOT 22
- No output
- How to save a .txt track
- How to get a dataset?
- How to install Eigen Lib?
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from r-vio.