Occupancy Mapping

Occupancy mapping aims to create a representation of an environment's occupancy state, indicating which areas are occupied and which are free. Current research focuses on improving efficiency and accuracy, particularly for high-resolution sensors and dynamic environments, employing techniques like UNet-like architectures, optimized data structures (e.g., OpenVDB), and novel probabilistic methods such as Dempster-Shafer theory. These advancements are crucial for applications such as autonomous navigation, robotics, and human-robot interaction, enabling more robust and reliable perception in complex scenarios.