# LidarView and Lidar SLAM next training sessions

**URL:** https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056
**Category:** LidarView, Lidar, and SLAM
**Tags:** lidarview, slam
**Created:** [February 29, 2024, 5:01pm UTC](https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056 "2024-02-29T17:01:47Z")
**Posts on this page:** 4
**Page:** 1

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### Author: ![Gatien\_Ferret](https://discourse.paraview.org/user_avatar/discourse.paraview.org/gatien_ferret/32/9789_2.png) [@Gatien\_Ferret](https://discourse.paraview.org/u/Gatien_Ferret)
#### Post date: [February 29, 2024, 5:01pm UTC](https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056/1 "2024-02-29T17:01:48Z")

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_Did you register for the next training sessions in CET time zone ? ![🗓](https://discourse.paraview.org/uploads/default/original/2X/d/d8687bb7ac0c02297ce0c940d51e48743688ef5a.png)_

- _LidarView Training, a full-day training given on March 26, 2024 and starting at 9:00 AM Paris time (CET / GMT+1h). This cover the main features LidarView brings to LiDAR data analysis, whether it is through replaying data or watching them live, but also automation capabilities this brings with existing or custom processing_
- _Lidar SLAM Training a full-day training given on March 27, 2024 and starting at 9:00 AM Paris time (CET / GMT+1h). This will cover the theory behind SLAM, how Kitware’s SLAM library is architectured and how to tune it, as well as an introduction to its usage using ROS_

_More information and direct registration on Kitware Europe’s website:_

_[https://www.kitware.eu/training/](https://www.kitware.eu/training/)_

_Feel free to contact [bd@kitware.fr](mailto:bd@kitware.fr) if you need more information!_

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### Author: ![Gatien\_Ferret](https://discourse.paraview.org/user_avatar/discourse.paraview.org/gatien_ferret/32/9789_2.png) [@Gatien\_Ferret](https://discourse.paraview.org/u/Gatien_Ferret)
#### Post date: [September 17, 2024, 3:07pm UTC](https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056/2 "2024-09-17T15:07:44Z")

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New training sessions for fall 2024 are out !

- LidarView Training, a full-day training given on October 23, 2024 and starting at 9:00 AM Paris time (CET / GMT+1h). This cover the main features LidarView brings to LiDAR data analysis, whether it is through replaying data or watching them live, but also automation capabilities this brings with existing or custom processing. With the newly released LidarView 5.0, we will also showcase its new functionalities including trame based LidarView wrapping

- Lidar SLAM Training a full-day training given on October 29, 2024 and starting at 9:00 AM Paris time (CET / GMT+1h). This will cover the theory behind SLAM, how Kitware’s SLAM library is architectured, how to tune it, data acquisition best practices, an intro to its extra features (Loop Closure, external sensor fusion, point cloud aggregation…), as well as a guide to its usage using ROS2

_More information and direct registration on Kitware Europe’s website:_  
_[https://www.kitware.eu/training/](https://www.kitware.eu/training/)_

_And feel free to contact [bd@kitware.fr](mailto:bd@kitware.fr) if you need more information!_

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### Author: ![Gatien\_Ferret](https://discourse.paraview.org/user_avatar/discourse.paraview.org/gatien_ferret/32/9789_2.png) [@Gatien\_Ferret](https://discourse.paraview.org/u/Gatien_Ferret)
#### Post date: [January 21, 2025, 9:51am UTC](https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056/3 "2025-01-21T09:51:05Z")

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New training sessions for spring 2025 are out !

- LidarView Training, a full-day training given on April 23, 2025 and starting at 9:00 AM Paris time (CET / GMT+1h). This covers the main features of LidarView :
  - Visualization capabilities and basic ParaView filters that can be applied to point clouds
  - How the data is read from the sensors ( and showcasing how to create your own interpreter )
  - Overview of existing commonly used algorithms
  - How to integrate your own algorithms
  - How to customize the application

- Lidar SLAM Training a full-day training given on April 24, 2025 and starting at 9:00 AM Paris time (CET / GMT+1h). This covers :
  - The theory behind SLAM
  - How Kitware’s SLAM library is architectured
  - Data acquisition best practices, and guidance on how to tune the algorithm to your data
  - An intro to its extra features (Loop Closure, external sensor fusion, point cloud aggregation…)
  - Getting started with ROS wrapper
  - Practical exercises using ROS wrapper and LidarView

More information and direct registration on Kitware Europe’s website:  
[https://www.kitware.eu/training/](https://www.kitware.eu/training/)

And feel free to contact [bd@kitware.fr](mailto:bd@kitware.fr) if you need more information!

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### Author: ![Gatien\_Ferret](https://discourse.paraview.org/user_avatar/discourse.paraview.org/gatien_ferret/32/9789_2.png) [@Gatien\_Ferret](https://discourse.paraview.org/u/Gatien_Ferret)
#### Post date: [September 22, 2026, 12:49pm UTC](https://discourse.paraview.org/t/lidarview-and-lidar-slam-next-training-sessions/14056/4 "2026-09-22T12:49:43Z")

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Training sessions for fall 2026 :

- New training sessions for autumn 2026 are out !
  - LidarView Training, a full-day training given on October 22, 2026 and starting at 9:00 AM Paris time (CET / GMT+1h). This covers the main features of LidarView :
    - Visualization capabilities and basic ParaView filters that can be applied to point clouds
    - How the data is read from the sensors (and showcasing how to create your own interpreter)
    - How LidarView connects to the ROS2 environment
    - Getting familiar with the most commonly used algorithms on LiDar scans
    - How to integrate your own algorithms
    - How to customize the application

  - Lidar SLAM Training a full-day training given on October 23, 2026 and starting at 9:00 AM Paris time (CET / GMT+1h). This covers :
    - The theory behind SLAM
    - How Kitware’s SLAM library is architectured
    - Data acquisition best practices, and guidance on how to tune the algorithm to your data
    - An intro to its extra features (Loop Closure, external sensor fusion, point cloud aggregation…)
    - Guidance for georeferenced mapping
    - Getting started with ROS2 wrapper
    - Practical exercises using ROS2 wrapper and LidarView

- More information and direct registration on Kitware Europe’s website:  
[https://www.kitware.eu/training/](https://www.kitware.eu/training/)

And feel free to contact [bd@kitware.fr](mailto:bd@kitware.fr) if you need more information!
