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feat: score based covariance estimation #45
Merged
SakodaShintaro
merged 62 commits into
tier4/main
from
feat/score_based_covariance_estimation
Apr 5, 2024
Merged
feat: score based covariance estimation #45
SakodaShintaro
merged 62 commits into
tier4/main
from
feat/score_based_covariance_estimation
Apr 5, 2024
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Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
…ovariance_estimation Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
…likelihood_array Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
Signed-off-by: Shintaro Sakoda <[email protected]>
YamatoAndo
approved these changes
Apr 4, 2024
Signed-off-by: Shintaro Sakoda <[email protected]>
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This pull request mainly adds three functions to estimate covariance in NDT.
https://github.com/tier4/ndt_omp/pull/45/files#diff-bd4f8c20818118d63c4fd82470a937c0dd9962414fc67ace262046bc3ff4b136R16-R19
One that seems particularly promising is score-based covariance estimation.
In the method, after estimating the pose using NDT, only the score is calculated using NDT for about 10 points with a fixed offset, and the covariance is estimated as a weighted sum calculated from those scores.
For example, in places like tunnels, I have confirmed that there is a large covariance in the direction of travel.
When converted to the base_link coordinate and plotted the magnitude of covariance about AWSIM nishishinjuku data, it becomes as follows.
The speed is