FoMo: A Multi-Season Dataset for Robot Navigation in For et Montmorency
The Foret Montmorency (FoMo) dataset is a comprehensive, multi-season collection spanning one year in a boreal forest. It challenges robot navigation systems by featuring extreme environmental variability, including significant snow accumulation and evolving terrain. The dataset includes diverse sensor data and ground truth to test the robustness of odometry and SLAM methods under difficult conditions.