SAR-SLAM: Semantic-Aware Recognition for Dynamic SLAM in Robotic Applications
This paper introduces SAR-SLAM (Semantic-Aware Recognition SLAM), an RGB-D SLAM framework that robustly handles dynamic scenes containing moving people and objects using dual semantic geometric processing, and remains competitive with state-of-the-art dynamic SLAM methods across a range of dynamic scenarios.