Alessio Sabato
LiDAR and IMU based positioning system integration for scenarios where GNSS and RTK fail to ensure high precision.
Rel. Marcello Chiaberge, Simone Cerrato. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2025
Abstract
The objective of this thesis is to design and implement a real-time positioning system for an autonomous agricultural robot. The system will be built using ROS2 packages and it will be tested in a gazebo environment to simulate some real scenario. The software will be integrated in an agricultural autonomous robot produced by Black-Shire, the robot’s name is RC3075. The robot already has some sensors to localize such as Global Navigation Satellite System (GNSS) and Real-Time Kinematics (RTK). The big problem with only these sensors is that when GPS signal is low quality, the positioning of the robot becomes difficult and inaccurate.
To solve this problem, the positioning system will be modified
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