Multi-level exploration and 3D mapping with octrees and differential drive robots

In this paper the 3D SLAM solution for indoor inspection tasks with wheeled mobile robots is introduced. The application is regarded to exploring and map creating in multi-level buildings with usage of differential drive robots. Working environment is represented as three-dimensional occupancy grid map, that constructed by laser rangefinder sensor system and octrees. Robot's base frame displacement and orientation is given from visual odometry and inertial navigation system feedback. The pose estimation process is based on combined particular and Gaussian filtering techniques. The whole SLAM system is implemented in ROS framework in accordance with multi-agent extension requirements, and therefore might be used for a mobile robot group applications.

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Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).