raphael/msckf_vio
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adds youtube to README

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Raphael Maenle
2021-08-06 14:09:27 +02:00
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@@ -6,11 +6,13 @@ The `MSCKF_VIO` package is a stereo-photometric version of MSCKF. The software t
This approach is based on the paper written by Ke Sun et al. This approach is based on the paper written by Ke Sun et al.
[https://arxiv.org/abs/1712.00036](https://arxiv.org/abs/1712.00036) and their Stereo MSCKF implementation, which tightly fuse the matched feature information of a stereo image pair into a 6DOF Pose. [https://arxiv.org/abs/1712.00036](https://arxiv.org/abs/1712.00036) and their Stereo MSCKF implementation, which tightly fuse the matched feature information of a stereo image pair into a 6DOF Pose.
The approach implemented in this repository follows the semi-dense msckf approach tightly fusing the photometric The approach implemented in this repository follows the semi-dense msckf approach tightly fusing the photometric
information around the matched featues into the covariance matrix, as described and derived in the master thesis[Pose Estimation using a Stereo-Photometric Multi-State Constraint Kalman Filter](http://raphael.maenle.net/resources/sp-msckf/maenle_master_thesis.pdf). information around the matched featues into the covariance matrix, as described and derived in the master thesis [Pose Estimation using a Stereo-Photometric Multi-State Constraint Kalman Filter](http://raphael.maenle.net/resources/sp-msckf/maenle_master_thesis.pdf).
It's positioning is comparable to the approach from Ke Sun et al. with the photometric approach, with a higher It's positioning is comparable to the approach from Ke Sun et al. with the photometric approach, with a higher
computational load, especially with larger image patches around the feature. A video explaining the approach can be computational load, especially with larger image patches around the feature. A video explaining the approach can be
found on [https://youtu.be/HrqQywAnenQ](https://youtu.be/HrqQywAnenQ) found on [https://youtu.be/HrqQywAnenQ](https://youtu.be/HrqQywAnenQ):
[![Stereo-Photometric MSCKF](https://img.youtube.com/vi/HrqQywAnenQ/0.jpg)](https://www.youtube.com/watch?v=HrqQywAnenQ)
<br/> <br/>
This software should be deployed using ROS Kinetic on Ubuntu 16.04 or 18.04. This software should be deployed using ROS Kinetic on Ubuntu 16.04 or 18.04.