LiDAR SLAM Training
This training covers how to get started with Lidar SLAM.
In the morning, the SLAM theoretical approach will be discussed. The state of the art algorithms will be briefly explained and the Kitware SLAM pipeline will be developed in detail. This theoretical explanation will be linked with the current library code.
In the afternoon, we will take a look at Kitware SLAM wrappings : ROS and LidarView. They allow to use the algorithm online or on PCAP/rosbag files and to get visual feedback. The parameters, modes, and available features will be described and tested.
Objectives
- Discover the SLAM
- Discover the tools to use the Kitware SLAM and its features
- Practice mapping and localization
Prerequisites
- C++: basic knowledge
- Point cloud algorithms: basic knowledge would be a plus
- ROS: basic knowledge would be a plus
- Shell linux: basic knowledge would be a plus
Program
- Theory around SLAM
- Lidar sensor/data description
- Point cloud registration basics
- SLAM : aims, classic approaches
- Kitware SLAM algorithm internal description with code links
- Getting started with LidarView
- Installation
- Open PCAP
- Open stream
- Visualize data
- Apply SLAM
- Parameterize
- Getting started with ROS
- Compilation
- Configuration
- Launch
- Outputs
- Commands
This training course will be taught in English. Course notes are also in English.
Participants are asked to bring a laptop computer for this training session.
The instructor will communicate all the specifications required to each participants before the training session.
Kitware SAS is registered as a training center in France
Practical Information
Duration: 1 day
Next training Date: April 4, 2023
Time zone: Paris (CEST / GMT+2h)
Schedule: 9am to 5pm
Location: Online
Price: 800€
Company Training
All our training can be offered on site with a custom agenda. Contact us for more information.
Meet the instructor
Julia Sanchez has integrated Kitware Europe in October 2020 as a developer in the Vision team.
Julia has a PHD from the Lyon 1 University in computer science. Her thesis was oriented towards automation of buildings 3D reconstruction from dense Lidar point clouds. She also obtained a double MSc degree in engineering from the INSA Lyon school in France and the Lyon 1 University.
At Kitware, Julia has been working as an R&D engineer on numerous robotic projects and LidarView based applications. She is notably in charge of the open source Kitware SLAM library.