Elevation Map

Elevation mapping focuses on creating detailed 3D representations of terrain, crucial for various applications from robotics and autonomous navigation to environmental monitoring and urban planning. Current research emphasizes developing robust and efficient algorithms, including those based on deep learning architectures like Vision Transformers and convolutional neural networks, to generate these maps from diverse data sources such as LiDAR, cameras, and inertial measurement units. These advancements improve accuracy, scalability, and the incorporation of semantic information (e.g., traversability, object detection) into elevation maps, leading to enhanced capabilities in autonomous systems and improved understanding of complex environments.