R Bormann, F Jordan, W Li, J Hampp… - … conference on robotics …, 2016 - ieeexplore.ieee.org
The division of floor plans or navigation maps into single rooms or similarly meaningful semantic units is central to numerous tasks in robotics such as topological mapping …
S Cheng, C Sun, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Simultaneous localization and mapping (SLAM) is one of the fundamental capabilities for intelligent mobile robots to perform state estimation in unknown environments. However …
The evolution of contemporary mobile robotics has given thrust to a series of additional conjunct technologies. Of such is the semantic mapping, which provides an abstraction of …
A Pronobis, P Jensfelt - 2012 IEEE international conference on …, 2012 - ieeexplore.ieee.org
This paper presents a probabilistic framework combining heterogeneous, uncertain, information such as object observations, shape, size, appearance of rooms and human input …
We consider the following problem: a team of robots is deployed in an unknown environment and it has to collaboratively build a map of the area without a reliable …
K Koide, J Miura, M Yokozuka, S Oishi… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
This letter presents an interactive graph SLAM framework with a 3D LIDAR. This framework allows the user to interactively correct a 3D environmental map generated by an automatic …
J Yang, Z Kang, L Zeng, PH Akwensi… - ISPRS Journal of …, 2021 - Elsevier
The increasing availability of both indoor positioning services and sensors for 3D data capture, such as RGB-D sensors, allows the provision of indoor spatial information services …
Truly universal helper robots capable of coping with unknown, unstructured environments must be capable of spatial reasoning, ie establishing geometric relations between objects …
Due to its vast applicability, the semantic interpretation of regions or entities increasingly attracts the attention of scholars within the robotics community. The paper at hand introduces …