Robust 6DoF Localization of Ground Robots in Challenging Forest Environments using Cross-View Factor Graph Optimization and Deep Learning-based Re-Localization
A novel approach for robust global localization and 6DoF pose estimation of ground robots in forest environments by leveraging cross-view factor graph optimization and deep-learned re-localization.