Semantic SLAM for dynamic semi-structured environments using object and plane detection

Key Points

• Dynamic environments present challenges for traditional SLAM methods, which often struggle with object detection and mapping.
• The integration of object and plane detection enhances the accuracy of semantic SLAM, accommodating changing surroundings effectively.
• This analysis utilized neural networks for object and plane recognition, evaluating their performance in semi-structured settings.
• May enable more reliable robotic navigation, although practical applications in real-time settings require further validation.