Erich Bruns

Self-Supervised Learning of Domain-Invariant Local Features for Robust Visual Localization Under Challenging Conditions

Visual localization provides the basis for many robotics applications such as autonomous navigation or augmented reality. Especially in outdoor scenes, robust localization requires local features which can be reliably extracted and matched under changing conditions. Previous approaches have applied