CAOS-SLAM: Class-Agnostic Object-Aware Real-Time vSLAM for Dynamic Environments
Robust visual Simultaneous Localization and Mapping (vSLAM) in dynamic environments faces challenges due to the presence of moving objects that may introduce erroneous observations, corrupt the map reconstruction and overall degrade localization accuracy. Existing vSLAM approaches often rely on predefined semantic clas...