AGT-CV: An Aerial-Ground Team Cross-View Dataset for Heterogeneous Robot Teams in Unstructured Environments
AGT-CV is a new dataset for aerial-ground robot teams using complementary sensing like LiDAR and thermal cameras to improve perception in rough outdoor settings. It combines data from a ground robot and an aerial vehicle across varied terrains, including mud and snow. This allows researchers to build better systems that understand complex scenes by fusing different viewpoints.