Semantic SLAM Based on Object Detection and Improved Octomap
Semantic SLAM Based on Object Detection and Improved Octomap is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include object, RGB color model, deep learning, motion planning, artificial intelligence, Simultaneous localization and mapping, computer vision, Viola–Jones object detection framework, biological robustness, Semantic mapping, object detection, conditional random field, and computer science. The authors propose a Semantic SLAM system which builds the semantic maps with object-level entities, and it is integrated into the RGB-D SLAM framework.