RGB-D SLAM in dynamic environments based on image difference and particle filtering

Key Points

• Dynamic environments were effectively navigated using RGB-D SLAM techniques.
• Key metrics showed robust performance in 3 dynamic scenarios, indicating adaptability.
• Analysis employs particle filtering in conjunction with image difference techniques for tracking.
• This approach may enable better navigation in real-world applications like robotics or self-driving vehicles.