Sensor Fusion with ROS

This course provides comprehensive training on designing and implementing a sensor fusion system within the Robot Operating System (ROS) framework. Participants will gain hands-on experience with ROS tools and packages, learning to manage complex multi-sensor environments. The curriculum covers everything from setting up a ROS workspace and understanding communication protocols to fusing data from LiDAR, GPS, and IMU for robust localization and perception.

Course Curriculum

Introduction to ROS Programming and Architecture
Linux System Fundamentals for ROS
Setting up ROS Workspaces and Packages
Sensor Fusion on Autonomous Vehicles (LiDAR, GPS, IMU)
Introduction to Path Planning Algorithms
Development of an Autonomous Path in a 3D Environment

Course Information

Learning Outcomes

Master ROS programming, tools, and package management.
Understand Linux system architecture for robotics.
Configure and integrate multiple sensors (LiDAR, GPS, IMU) in a ROS system.
Implement sensor fusion algorithms for enhanced perception.
Develop path planning and navigation algorithms in a 3D environment.

Target Audience

Engineers and developers aiming to become specialists in robotics and autonomous systems using ROS.

Prerequisites

Strong proficiency in C++ or Python and experience with the Linux command line are essential. Prior completion of foundational AV courses is recommended.

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