3D Mapping

3D mapping focuses on creating accurate, detailed three-dimensional representations of environments using various sensor data, aiming to improve perception and navigation in diverse applications. Current research emphasizes efficient algorithms like Gaussian Mixture Models and Gaussian Splatting for map representation, along with sensor fusion techniques (e.g., combining LiDAR, cameras, and IMUs) and the use of deep learning for tasks such as semantic segmentation and object recognition. These advancements are driving improvements in robotics, autonomous navigation, emergency response, and environmental monitoring, enabling more robust and reliable operation in complex or hazardous settings.