Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 28, 2023 - July 01, 2023
Drones are expected to play an active and important role in the logistics and infrastructure inspection fields. In non-GPS environments, drone have to obtain its position using self-position estimation technology. However, it is difficult to compare the estimation performance because test methods are not standardized. In response to this problem, we have started to propose standard test methods for self-localization of drone. In this study, a simulator for considering the test environment is developed by using Unity and the simulator can cooperates with the ROS (Robot Operating System). Three types of SLAM (Simultaneous Localization And Mapping) are compared in some environments prepared in the developed simulator.
