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fix(gyro_odometer): use all data #2293
fix(gyro_odometer): use all data #2293
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Signed-off-by: kminoda <koji.minoda@tier4.jp>
Signed-off-by: kminoda <koji.minoda@tier4.jp>
…da/autoware.universe into feature/gyro_odometer/use_all_data
Codecov ReportBase: 11.09% // Head: 11.08% // Decreases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## main #2293 +/- ##
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- Coverage 11.09% 11.08% -0.02%
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Files 1208 1208
Lines 86572 86675 +103
Branches 20837 20837
==========================================
Hits 9606 9606
- Misses 66807 66910 +103
Partials 10159 10159
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Signed-off-by: kminoda <koji.minoda@tier4.jp>
Signed-off-by: kminoda <koji.minoda@tier4.jp>
) * Add Planning Evaluator (autowarefoundation#2293) Co-authored-by: Takamasa Horibe <horibe.takamasa@gmail.com> Signed-off-by: kyoichi-sugahara <kyoichi.sugahara@tier4.jp> * update planning msgs Signed-off-by: kyoichi-sugahara <kyoichi.sugahara@tier4.jp> * update perception msgs Signed-off-by: kyoichi-sugahara <kyoichi.sugahara@tier4.jp> * ci(pre-commit): autofix * delete quotes Signed-off-by: kyoichi-sugahara <kyoichi.sugahara@tier4.jp> * modify README Signed-off-by: kyoichi-sugahara <kyoichi.sugahara@tier4.jp> Co-authored-by: Maxime CLEMENT <78338830+maxime-clem@users.noreply.github.com> Co-authored-by: Takamasa Horibe <horibe.takamasa@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Signed-off-by: kminoda <koji.minoda@tier4.jp>
Signed-off-by: kminoda <koji.minoda@tier4.jp>
Signed-off-by: kminoda <koji.minoda@tier4.jp>
Let me make this PR a draft for now. |
Signed-off-by: kminoda koji.minoda@tier4.jp
Description
I would like to change the implementation of gyro_odometer.
Current gyro_odometer had an issue when the IMU frequency is higher than the velocity frequency. For example when IMU freq = 200 Hz and velocity freq = 50 Hz, the current gyro_odometer will concatenate both data and output twist in 200 Hz. Since the velocity frequency is not that high, it upsamples velocity observation by simply publishing one observed data four times.
This may be a problem because, assuming that the covariance of IMU and velocity are properly estimated, EKF may be overly confident on the velocity observation.
To be accurate on probability theory, I would like to change the implementation to the following:
Related links
Tests performed
Normal scenario test
Run Autoware with tutorial data and confirmed that the localization works fine and the covariance estimation is also reasonable
Edge-case test
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