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Description
Localisation + Tools
- Utilize ICP algorithm to localise captured point clouds to target prior map
- AnyMal uses ICP-tools, however cannot port to Rooster due to EULA infringement issues
- AICP will be used, an in house algorithm based off of the libpointmatcher library
- Features a non-slam for pure localisation which we will use
Going Forward: Short Term
- Become familiar with AICP and running it on existing datasets
- Make sure master branch on machine is up to date with latest code
- Download data sets from drs_testing_data
- Become familiar with odometry specifically visual odometry with FOVIS
- Edit AICP such that we can save individual point clouds for piping into ESM, as well as saving metadata (pointcloud no, timestamps, poses, quaternions) to a csv file.
- Familiarise more with Visual SLAM, Deep Learning Loop Closure and ESM
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