International Research Journal of Education and Technology

Indoor SLAM system using LIDAR data that can track moving obstacles with good accuracy and reliability.

This paper introduces an LIDAR-based SLAM method for changing environments, where the environment changes due to dynamic objects, and is designed specifically for indoor settings. The LIDAR data is combined with advanced algorithms to provide high-precision localization and keeps the map updated, even in complex and tight areas. Separation of static and dynamic feature extraction Adaptive filtering techniques makes this enhancement on localization accuracy and performance in general. The results of our experiments are quite good: they demonstrate a consistent and safe navigation in dynamic, indoor environments.

Index Terms –LIDAR SLAM, Indoor Robot Navigation, Dynamic Environments, Filtering, Localization and Mapping.