3 accepted papers
Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situations requires them to handle dynamic objects. In this paper, we propose an approach for an RGB-D sensor that is able to co…
Reliable and accurate localization and mapping are key components of most autonomous systems. Besides geometric information about the mapped environment, the semantics plays an important role to enable intelligent navigation behaviors. In most realistic environments, this task is particularly compli…
3D models of the environment are used in numerous robotic applications and should reflect the current state of the world. In this paper, we address the problem of quickly finding structural changes between the current state of the world and a given 3D model using a small number of images. Our approa…