2 Dimensional Localization

Two-dimensional (2D) localization focuses on precisely determining the position and orientation of an object within a 2D plane, a crucial task in robotics and computer vision. Current research emphasizes robust 2D localization in challenging environments, such as uneven terrain, using techniques that integrate elevation data with traditional methods like grid maps and incorporate sensor fusion from lidar, cameras, and IMUs. These advancements improve the accuracy and reliability of 2D localization, particularly for mobile robots navigating complex indoor and outdoor spaces, and are also being applied to improve object detection and tracking in images and videos. The resulting improvements have significant implications for autonomous navigation, object recognition, and other applications requiring precise spatial awareness.