Ambiguous Scene

Ambiguous scenes, characterized by repetitive structures or lack of distinctive features, pose a significant challenge for computer vision and robotics. Current research focuses on improving the robustness of visual SLAM (Simultaneous Localization and Mapping) and other perception systems in these environments, employing techniques like probabilistic frameworks for pose estimation, semantic information integration with planar features, and continual learning approaches to adapt to unseen environments. These advancements are crucial for reliable autonomous navigation in complex, real-world settings, impacting applications such as drone surveillance, augmented reality, and robotic exploration.