Add VSLAM-demo example #109
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| ```bash | ||
| docker ps -a | grep orbslam | ||
| docker exec -it [containerID] bash |
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just naming the container with --name so you don't need to look up the id.
| | fr2_desk | 0.05 | 0.12 | | ||
| | fr3_office | 0.02 | 0.04 | | ||
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| <img src="images/结果对比图.png" alt="结果对比图" style="zoom:50%;" /> |
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It is recommended to name the file in English
| && rm -rf ./build \ | ||
| && ./build.sh | ||
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| RUN bash -i -c "echo 'ROS_PACKAGE_PATH=/opt/ros/melodic/share:/workspace/edgeslam/Examples/ROS'>>~/.bashrc" |
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ENV ROS_PACKAGE_PATH "/opt/ros/melodic/share:/workspace/edgeslam/Examples/ROS"
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Thanks for your contribution!
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Signed-off-by: jike5 <[email protected]>
Signed-off-by: jike5 <[email protected]>
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| > We use [TUM Datasets](https://vision.in.tum.de/data/datasets/rgbd-dataset/download) and its format in our development and test process. | ||
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| 4. Check your work node's name and modify the deployment.yaml file. |
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With all nodes running on the cluster, we create the deployment by using the yaml file below.
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Directly replace the sentence 4. Check your work... with this one?
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i have modified it, thanks a lot
sig-robotics/examples/Implement-VSLAM-algorithm-based-on-KubeEdge/README.md
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/lgtm |
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@JoeyHwong-gk: changing LGTM is restricted to collaborators In response to this:
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Signed-off-by: jike5 <[email protected]> Signed-off-by: jike5 <[email protected]> Signed-off-by: jike5 <[email protected]> Signed-off-by: jike5 <[email protected]> Signed-off-by: jike5 <[email protected]>
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED Approval requirements bypassed by manually added approval. This pull-request has been approved by: The full list of commands accepted by this bot can be found here. The pull request process is described here
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What type of PR is this?
kubeedge/examples#120
#92
What this PR does / why we need it:
[OSPP] Code for Implementation of an VSLAM Algorithm on KubeEdge
In order to develop a practical system, we follow the architectural design from edgeslam, still, with numerous modifications for our scenario. Relying on the cloud-edge management and cloud-edge communication function provided by kubeedge and edgemesh, a complete cloud-edge collaborative SLAM system is implemented. In this system, the edge side is responsible for sensor data collection, feature extraction and data sending, while the cloud side is in charge of loop closing and global mapping.