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Add the DREAM lab to list of libpoitnmatcher applications (#592)
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@@ -30,7 +30,7 @@ The library is written in C++ for efficiency with [bindings in Python](doc/index | |
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[![Mentioned in Awesome Robotics](https://awesome.re/mentioned-badge.svg)](https://github.com/ahundt/awesome-robotics#point-clouds) | ||
<br> | ||
<sup> | ||
<sup> | ||
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<a href="https://github.com/szenergy/awesome-lidar#basic-matching-algorithms">LIDAR</a> | ||
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@@ -48,9 +48,9 @@ The library is written in C++ for efficiency with [bindings in Python](doc/index | |
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### Supported OS And Architecture | ||
_libpointmatcher_ is tested on our build system under the following architecture and OS: | ||
- Ubuntu bionic (18.04), focal (20.04) and jammy (22.04) | ||
- Ubuntu bionic (18.04), focal (20.04) and jammy (22.04) | ||
- x86 and arm64/v8 | ||
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Note: | ||
- _libpointmatcher_ reportedly works on MacOs OsX (latest) and Windows (latest) | ||
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@@ -66,7 +66,7 @@ Execute the following to clone the repository with its submodule: | |
```shell | ||
git clone --recurse-submodules https://github.com/norlab-ulaval/libpointmatcher.git | ||
``` | ||
If _libpointmatcher_ was previously cloned, execute the following to fetch its new submodule | ||
If _libpointmatcher_ was previously cloned, execute the following to fetch its new submodule | ||
```shell | ||
git submodule update --remote --recursive --init | ||
``` | ||
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@@ -79,12 +79,12 @@ on your workstation to speed up your local development workflow. | |
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[//]: # (====Body=================================================================================) | ||
# Documentation and Tutorials | ||
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**Quick link for the tutorial pages: [Tutorials](http://libpointmatcher.readthedocs.org/). | ||
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Those tutorials are written using Markdown syntax and stored in the project's `/doc` folder. Their scope ranges from introductory material on performing point cloud registration to instructions for the more experienced developer on how to extend the library's codebase. | ||
Those tutorials are written using Markdown syntax and stored in the project's `/doc` folder. Their scope ranges from introductory material on performing point cloud registration to instructions for the more experienced developer on how to extend the library's codebase. | ||
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Libpointmatcher's source code is fully documented based on doxygen to provide an easy API to developers. An example of this API can be found [here](https://norlab.ulaval.ca/libpointmatcher-doc/), but it is suggested to use the one build for your version in `doc/html`. | ||
Libpointmatcher's source code is fully documented based on doxygen to provide an easy API to developers. An example of this API can be found [here](https://norlab.ulaval.ca/libpointmatcher-doc/), but it is suggested to use the one build for your version in `doc/html`. | ||
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libpointmatcher was orginaly developed by [François Pomerleau](mailto:[email protected]) and [Stéphane Magnenat](http://stephane.magnenat.net) as part of our work at [ASL-ETH](http://www.asl.ethz.ch). | ||
It is now maintained by the Northern Robotics Laboratory ([Norlab](https://norlab.ulaval.ca/)), led by François Pomerleau. | ||
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@@ -102,7 +102,7 @@ The library has a light dependency list: | |
* [Eigen] version 3, a modern C++ matrix and linear-algebra library, | ||
* [boost] version 1.48 and up, portable C++ source libraries, | ||
* [libnabo] version 1.0.7, a fast K Nearest Neighbour library for low-dimensional spaces, | ||
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and was compiled on: | ||
* Ubuntu ([see how](/doc/CompilationUbuntu.md)) | ||
* Mac OS X ([see how](/doc/CompilationMac.md)) | ||
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``` | ||
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### Compilation & Installation | ||
### Compilation & Installation | ||
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For beginner users unfamiliar with compiling and installing a library in Linux, go [here](doc/CompilationUbuntu.md) for detailed instructions on compiling libpointmatcher from the source code. | ||
For beginner users unfamiliar with compiling and installing a library in Linux, go [here](doc/CompilationUbuntu.md) for detailed instructions on compiling libpointmatcher from the source code. | ||
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For conveniences, you can use the provided installer script for ubuntu | ||
```shell | ||
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@@ -214,7 +214,7 @@ and/or | |
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If you are interested in learning more about different registration algorithms, we recently put together a literature review surveying multiple solutions. The review is organized in the same way as the library and many examples are provided based on real deployments. | ||
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F. Pomerleau, F. Colas and R. Siegwart (2015), "_A Review of Point Cloud Registration Algorithms for Mobile Robotics_", __Foundations and Trends® in Robotics__: Vol. 4: No. 1, pp 1-104. https://doi.org/10.1561/2300000035 | ||
F. Pomerleau, F. Colas and R. Siegwart (2015), "_A Review of Point Cloud Registration Algorithms for Mobile Robotics_", __Foundations and Trends® in Robotics__: Vol. 4: No. 1, pp 1-104. https://doi.org/10.1561/2300000035 | ||
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If you don't have access to the journal, you can download it from [here](https://www.researchgate.net/publication/277558596_A_Review_of_Point_Cloud_Registration_Algorithms_for_Mobile_Robotics). | ||
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@@ -226,7 +226,7 @@ We also produced those freely available data sets to test different registration | |
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![alt tag](http://projects.asl.ethz.ch/datasets/lib/exe/fetch.php?cache=&media=laserregistration:asldataset_weblarge.jpg) | ||
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You can download the files in CSV or VTK formats, which are directly supported by the library I/O module. | ||
You can download the files in CSV or VTK formats, which are directly supported by the library I/O module. | ||
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# Projects and Partners | ||
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* [Norlab](https://norlab.ulaval.ca/) is maintaining and using the library for its research on autonomous navigation in harsh environments. | ||
* [ANYbotics AG](https://www.anybotics.com) is investigating autonomous navigation algorithms using this library. | ||
* [Point Laz Mining LiDAR Expert](https://www.pointlaz.com/) is scanning mine shafts to ensure infrastructure safety. | ||
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* [Point Laz Mining LiDAR Expert](https://www.pointlaz.com/) is scanning mine shafts to ensure infrastructure safety. | ||
* [DREAM lab](https://dream.georgiatech-metz.fr/research/woodseer/) use libpointmatcher to reconstruct wood logs in 3D. | ||
For a larger list of work realized with libpointmatcher, please see the page [Applications And Publications](/doc/ApplicationsAndPub.md). | ||
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