|
Package Summary
Tags | No category tags. |
Version | 1.4.1 |
License | GPLv3 |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-12-20 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Jose-Luis Blanco-Claraco
Authors
mola_relocalization
C++ library with algorithms for relocalization, global localization, or pose estimation given a large initial uncertainty.
Note that particle filtering is implemented in its own repository under mrpt_navigation.
Method #1: mola::RelocalizationICP_SE2
Takes a global and a local metric map, a SE(2) ROI, and tries to match the local map in the global map by running ICP from all initial guesses defined by a regular SE(2) lattice, returning the result as a SE(3) hashed lattice.
This method is based on mp2p_icp ICP pipelines.
Method #2: mola::RelocalizationLikelihood_SE2
Takes a global metric map, an observation, and a SE(2) ROI, and evaluates the likelihood of the observation in a regular SE(2) lattice.
This is based on mrpt maps observationLikelihood() evaluation, so the main parameters that determine the way likelihood is computed must be defined on before hand within each of the metric map layers of the input reference map. At present this algorithm is useful for these sensor/map types:
- observations: pointclouds/2d_scan, reference_map: 2D gridmap
- observations: pointclouds, reference_map: pointclouds
Example result for the mola::RelocalizationLikelihood_SE2
method (from a unit test, see the code for details):
Figure: (top-left) Reference map. (bottom-left) Query map (actually, a decimated version is used internally). (top-right) Visualization of a slice of the returned likelihood field over a SE(2) ROI. The “slice” is for orientation (phi) equal to 0 (close to the actual pose transformation between the two maps). (bottom-right) The same likelihood slice, in real (x,y) coordinates (meters). The clear peak reveals, approximately, the location of the sought SE(2) transformation between the maps. Further refining is possible using ICP using this as initial guess.
Build and install
Refer to the root MOLA repository.
Docs and examples
See this package page in the documentation.
License
This package is released under the GNU GPL v3 license. Other options available upon request.
Changelog for package mola_relocalization
1.4.1 (2024-12-20)
1.4.0 (2024-12-18)
1.3.0 (2024-12-11)
1.2.1 (2024-09-29)
1.2.0 (2024-09-16)
- Fix cmake warning on missing mola_test_datasets for non-test builds
- Contributors: Jose Luis Blanco-Claraco
1.1.3 (2024-08-28)
- Depend on new mrpt_lib packages (deprecate mrpt2)
- Contributors: Jose Luis Blanco-Claraco
1.1.2 (2024-08-26)
1.1.1 (2024-08-23)
- Test dataset pkg moved as <test_depend>
- Contributors: Jose Luis Blanco Claraco
1.1.0 (2024-08-18)
- Merge pull request #62 from MOLAorg/docs-fixes Docs fixes
- Fix ament_xmllint warnings in package.xml
- Contributors: Jose Luis Blanco-Claraco
1.0.8 (2024-07-29)
- BUGFIX: Add missing cmake dependency on mrpt-slam
- ament_lint_cmake: clean warnings
- Contributors: Jose Luis Blanco-Claraco
1.0.7 (2024-07-24)
- Fix GNSS typo
- Contributors: Jose Luis Blanco-Claraco
1.0.6 (2024-06-21)
1.0.5 (2024-05-28)
1.0.4 (2024-05-14)
- bump cmake_minimum_required to 3.5
- Move experimental methods to another branch, and update documentation.
- adjust feature options
- Relocalization: refactor in several .cpp files. Add new method from BEV point density
- Contributors: Jose Luis Blanco-Claraco
1.0.3 (2024-04-22)
- RelocalizationICP_SE2: work in multiple threads and provides a feedback functor
- Add new ICP-based relocalization method
- Fix package.xml website URL
- Contributors: Jose Luis Blanco-Claraco
1.0.2 (2024-04-04)
- Implement SE(2) relocalization grid method
- New package mola_relocalization
- Contributors: Jose Luis Blanco-Claraco
1.0.1 (2024-03-28)
1.0.0 (2024-03-19)
0.2.2 (2023-09-08)
0.2.1 (2023-09-02)
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
mola_test_datasets | |
mola_common | |
mp2p_icp | |
mola_pose_list | |
mrpt_libobs | |
mrpt_libslam | |
mrpt_libmaps |
System Dependencies
Dependant Packages
Name | Deps |
---|---|
mrpt_pf_localization | |
mola |
Launch files
Messages
Services
Plugins
Recent questions tagged mola_relocalization at Robotics Stack Exchange
|
Package Summary
Tags | No category tags. |
Version | 1.4.1 |
License | GPLv3 |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-12-20 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Jose-Luis Blanco-Claraco
Authors
mola_relocalization
C++ library with algorithms for relocalization, global localization, or pose estimation given a large initial uncertainty.
Note that particle filtering is implemented in its own repository under mrpt_navigation.
Method #1: mola::RelocalizationICP_SE2
Takes a global and a local metric map, a SE(2) ROI, and tries to match the local map in the global map by running ICP from all initial guesses defined by a regular SE(2) lattice, returning the result as a SE(3) hashed lattice.
This method is based on mp2p_icp ICP pipelines.
Method #2: mola::RelocalizationLikelihood_SE2
Takes a global metric map, an observation, and a SE(2) ROI, and evaluates the likelihood of the observation in a regular SE(2) lattice.
This is based on mrpt maps observationLikelihood() evaluation, so the main parameters that determine the way likelihood is computed must be defined on before hand within each of the metric map layers of the input reference map. At present this algorithm is useful for these sensor/map types:
- observations: pointclouds/2d_scan, reference_map: 2D gridmap
- observations: pointclouds, reference_map: pointclouds
Example result for the mola::RelocalizationLikelihood_SE2
method (from a unit test, see the code for details):
Figure: (top-left) Reference map. (bottom-left) Query map (actually, a decimated version is used internally). (top-right) Visualization of a slice of the returned likelihood field over a SE(2) ROI. The “slice” is for orientation (phi) equal to 0 (close to the actual pose transformation between the two maps). (bottom-right) The same likelihood slice, in real (x,y) coordinates (meters). The clear peak reveals, approximately, the location of the sought SE(2) transformation between the maps. Further refining is possible using ICP using this as initial guess.
Build and install
Refer to the root MOLA repository.
Docs and examples
See this package page in the documentation.
License
This package is released under the GNU GPL v3 license. Other options available upon request.
Changelog for package mola_relocalization
1.4.1 (2024-12-20)
1.4.0 (2024-12-18)
1.3.0 (2024-12-11)
1.2.1 (2024-09-29)
1.2.0 (2024-09-16)
- Fix cmake warning on missing mola_test_datasets for non-test builds
- Contributors: Jose Luis Blanco-Claraco
1.1.3 (2024-08-28)
- Depend on new mrpt_lib packages (deprecate mrpt2)
- Contributors: Jose Luis Blanco-Claraco
1.1.2 (2024-08-26)
1.1.1 (2024-08-23)
- Test dataset pkg moved as <test_depend>
- Contributors: Jose Luis Blanco Claraco
1.1.0 (2024-08-18)
- Merge pull request #62 from MOLAorg/docs-fixes Docs fixes
- Fix ament_xmllint warnings in package.xml
- Contributors: Jose Luis Blanco-Claraco
1.0.8 (2024-07-29)
- BUGFIX: Add missing cmake dependency on mrpt-slam
- ament_lint_cmake: clean warnings
- Contributors: Jose Luis Blanco-Claraco
1.0.7 (2024-07-24)
- Fix GNSS typo
- Contributors: Jose Luis Blanco-Claraco
1.0.6 (2024-06-21)
1.0.5 (2024-05-28)
1.0.4 (2024-05-14)
- bump cmake_minimum_required to 3.5
- Move experimental methods to another branch, and update documentation.
- adjust feature options
- Relocalization: refactor in several .cpp files. Add new method from BEV point density
- Contributors: Jose Luis Blanco-Claraco
1.0.3 (2024-04-22)
- RelocalizationICP_SE2: work in multiple threads and provides a feedback functor
- Add new ICP-based relocalization method
- Fix package.xml website URL
- Contributors: Jose Luis Blanco-Claraco
1.0.2 (2024-04-04)
- Implement SE(2) relocalization grid method
- New package mola_relocalization
- Contributors: Jose Luis Blanco-Claraco
1.0.1 (2024-03-28)
1.0.0 (2024-03-19)
0.2.2 (2023-09-08)
0.2.1 (2023-09-02)
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
mola_test_datasets | |
mola_common | |
mp2p_icp | |
mola_pose_list | |
mrpt_libobs | |
mrpt_libslam | |
mrpt_libmaps |
System Dependencies
Dependant Packages
Name | Deps |
---|---|
mrpt_pf_localization | |
mola |
Launch files
Messages
Services
Plugins
Recent questions tagged mola_relocalization at Robotics Stack Exchange
|
Package Summary
Tags | No category tags. |
Version | 1.4.1 |
License | GPLv3 |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-12-20 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Jose-Luis Blanco-Claraco
Authors
mola_relocalization
C++ library with algorithms for relocalization, global localization, or pose estimation given a large initial uncertainty.
Note that particle filtering is implemented in its own repository under mrpt_navigation.
Method #1: mola::RelocalizationICP_SE2
Takes a global and a local metric map, a SE(2) ROI, and tries to match the local map in the global map by running ICP from all initial guesses defined by a regular SE(2) lattice, returning the result as a SE(3) hashed lattice.
This method is based on mp2p_icp ICP pipelines.
Method #2: mola::RelocalizationLikelihood_SE2
Takes a global metric map, an observation, and a SE(2) ROI, and evaluates the likelihood of the observation in a regular SE(2) lattice.
This is based on mrpt maps observationLikelihood() evaluation, so the main parameters that determine the way likelihood is computed must be defined on before hand within each of the metric map layers of the input reference map. At present this algorithm is useful for these sensor/map types:
- observations: pointclouds/2d_scan, reference_map: 2D gridmap
- observations: pointclouds, reference_map: pointclouds
Example result for the mola::RelocalizationLikelihood_SE2
method (from a unit test, see the code for details):
Figure: (top-left) Reference map. (bottom-left) Query map (actually, a decimated version is used internally). (top-right) Visualization of a slice of the returned likelihood field over a SE(2) ROI. The “slice” is for orientation (phi) equal to 0 (close to the actual pose transformation between the two maps). (bottom-right) The same likelihood slice, in real (x,y) coordinates (meters). The clear peak reveals, approximately, the location of the sought SE(2) transformation between the maps. Further refining is possible using ICP using this as initial guess.
Build and install
Refer to the root MOLA repository.
Docs and examples
See this package page in the documentation.
License
This package is released under the GNU GPL v3 license. Other options available upon request.
Changelog for package mola_relocalization
1.4.1 (2024-12-20)
1.4.0 (2024-12-18)
1.3.0 (2024-12-11)
1.2.1 (2024-09-29)
1.2.0 (2024-09-16)
- Fix cmake warning on missing mola_test_datasets for non-test builds
- Contributors: Jose Luis Blanco-Claraco
1.1.3 (2024-08-28)
- Depend on new mrpt_lib packages (deprecate mrpt2)
- Contributors: Jose Luis Blanco-Claraco
1.1.2 (2024-08-26)
1.1.1 (2024-08-23)
- Test dataset pkg moved as <test_depend>
- Contributors: Jose Luis Blanco Claraco
1.1.0 (2024-08-18)
- Merge pull request #62 from MOLAorg/docs-fixes Docs fixes
- Fix ament_xmllint warnings in package.xml
- Contributors: Jose Luis Blanco-Claraco
1.0.8 (2024-07-29)
- BUGFIX: Add missing cmake dependency on mrpt-slam
- ament_lint_cmake: clean warnings
- Contributors: Jose Luis Blanco-Claraco
1.0.7 (2024-07-24)
- Fix GNSS typo
- Contributors: Jose Luis Blanco-Claraco
1.0.6 (2024-06-21)
1.0.5 (2024-05-28)
1.0.4 (2024-05-14)
- bump cmake_minimum_required to 3.5
- Move experimental methods to another branch, and update documentation.
- adjust feature options
- Relocalization: refactor in several .cpp files. Add new method from BEV point density
- Contributors: Jose Luis Blanco-Claraco
1.0.3 (2024-04-22)
- RelocalizationICP_SE2: work in multiple threads and provides a feedback functor
- Add new ICP-based relocalization method
- Fix package.xml website URL
- Contributors: Jose Luis Blanco-Claraco
1.0.2 (2024-04-04)
- Implement SE(2) relocalization grid method
- New package mola_relocalization
- Contributors: Jose Luis Blanco-Claraco
1.0.1 (2024-03-28)
1.0.0 (2024-03-19)
0.2.2 (2023-09-08)
0.2.1 (2023-09-02)
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
mola_test_datasets | |
mola_common | |
mp2p_icp | |
mola_pose_list | |
mrpt_libobs | |
mrpt_libslam | |
mrpt_libmaps |
System Dependencies
Dependant Packages
Name | Deps |
---|---|
mrpt_pf_localization | |
mola |
Launch files
Messages
Services
Plugins
Recent questions tagged mola_relocalization at Robotics Stack Exchange
|
Package Summary
Tags | No category tags. |
Version | 1.4.1 |
License | GPLv3 |
Build type | CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-12-20 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- Jose-Luis Blanco-Claraco
Authors
mola_relocalization
C++ library with algorithms for relocalization, global localization, or pose estimation given a large initial uncertainty.
Note that particle filtering is implemented in its own repository under mrpt_navigation.
Method #1: mola::RelocalizationICP_SE2
Takes a global and a local metric map, a SE(2) ROI, and tries to match the local map in the global map by running ICP from all initial guesses defined by a regular SE(2) lattice, returning the result as a SE(3) hashed lattice.
This method is based on mp2p_icp ICP pipelines.
Method #2: mola::RelocalizationLikelihood_SE2
Takes a global metric map, an observation, and a SE(2) ROI, and evaluates the likelihood of the observation in a regular SE(2) lattice.
This is based on mrpt maps observationLikelihood() evaluation, so the main parameters that determine the way likelihood is computed must be defined on before hand within each of the metric map layers of the input reference map. At present this algorithm is useful for these sensor/map types:
- observations: pointclouds/2d_scan, reference_map: 2D gridmap
- observations: pointclouds, reference_map: pointclouds
Example result for the mola::RelocalizationLikelihood_SE2
method (from a unit test, see the code for details):
Figure: (top-left) Reference map. (bottom-left) Query map (actually, a decimated version is used internally). (top-right) Visualization of a slice of the returned likelihood field over a SE(2) ROI. The “slice” is for orientation (phi) equal to 0 (close to the actual pose transformation between the two maps). (bottom-right) The same likelihood slice, in real (x,y) coordinates (meters). The clear peak reveals, approximately, the location of the sought SE(2) transformation between the maps. Further refining is possible using ICP using this as initial guess.
Build and install
Refer to the root MOLA repository.
Docs and examples
See this package page in the documentation.
License
This package is released under the GNU GPL v3 license. Other options available upon request.
Changelog for package mola_relocalization
1.4.1 (2024-12-20)
1.4.0 (2024-12-18)
1.3.0 (2024-12-11)
1.2.1 (2024-09-29)
1.2.0 (2024-09-16)
- Fix cmake warning on missing mola_test_datasets for non-test builds
- Contributors: Jose Luis Blanco-Claraco
1.1.3 (2024-08-28)
- Depend on new mrpt_lib packages (deprecate mrpt2)
- Contributors: Jose Luis Blanco-Claraco
1.1.2 (2024-08-26)
1.1.1 (2024-08-23)
- Test dataset pkg moved as <test_depend>
- Contributors: Jose Luis Blanco Claraco
1.1.0 (2024-08-18)
- Merge pull request #62 from MOLAorg/docs-fixes Docs fixes
- Fix ament_xmllint warnings in package.xml
- Contributors: Jose Luis Blanco-Claraco
1.0.8 (2024-07-29)
- BUGFIX: Add missing cmake dependency on mrpt-slam
- ament_lint_cmake: clean warnings
- Contributors: Jose Luis Blanco-Claraco
1.0.7 (2024-07-24)
- Fix GNSS typo
- Contributors: Jose Luis Blanco-Claraco
1.0.6 (2024-06-21)
1.0.5 (2024-05-28)
1.0.4 (2024-05-14)
- bump cmake_minimum_required to 3.5
- Move experimental methods to another branch, and update documentation.
- adjust feature options
- Relocalization: refactor in several .cpp files. Add new method from BEV point density
- Contributors: Jose Luis Blanco-Claraco
1.0.3 (2024-04-22)
- RelocalizationICP_SE2: work in multiple threads and provides a feedback functor
- Add new ICP-based relocalization method
- Fix package.xml website URL
- Contributors: Jose Luis Blanco-Claraco
1.0.2 (2024-04-04)
- Implement SE(2) relocalization grid method
- New package mola_relocalization
- Contributors: Jose Luis Blanco-Claraco
1.0.1 (2024-03-28)
1.0.0 (2024-03-19)
0.2.2 (2023-09-08)
0.2.1 (2023-09-02)
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
mola_test_datasets | |
mola_common | |
mp2p_icp | |
mola_pose_list | |
mrpt_libobs | |
mrpt_libslam | |
mrpt_libmaps |
System Dependencies
Dependant Packages
Name | Deps |
---|---|
mrpt_pf_localization | |
mola |