… , surrounding environment, and … semantic maps for robot localization and navigation by integrating the geometrically precise visual SLAM methods with semantically enriched models of …
L Xia, J Cui, R Shen, X Xu, Y Gao… - International Journal of …, 2020 - journals.sagepub.com
… However, in cases where the artificial landmarks are unknown or the robots themselves are in GPS-denied environments, estimating ego-motion or perceiving scenes encounter great …
… agent that can navigate to rooms in unseen environments by … [40] and [6] use semantic features for improved localization … learns semantic maps of room locations for the task of Room …
X Han, S Li, X Wang, W Zhou - Information, 2021 - mdpi.com
… as a compact representation of the environment, is mainly used for localization, can be … semantic labels into geometric position, which enables a robot the capacity of semanticnavigation…
J Yang, Z Kang, L Zeng, PH Akwensi… - ISPRS Journal of …, 2021 - Elsevier
… environments. In this context, a simulated door model is designed to correct and update the true position of a … This task is also one of the most valuable parts for semantic mapping, place …
… to any large complex indoor environment where a usable indoor navigation service is needed. … For completeness, we also test the room level localization and navigation based on the …
… semantic enrichment of location streams captured from GPS … address an important challenge of computing semantics from … GPS performs poorly for most indoor environments since the …
… Our experiments in visually realistic simulationenvironments show that … a semantically-aware exploration model to tackle the object goal navigation task in large realistic environments. …
G Ge, Y Zhang, W Wang, Q Jiang, L Hu, Y Wang - Machines, 2022 - mdpi.com
… localization paradigm is used for localization: firstly, we find the coarse place for global localization by finding text-level semantic … achieve mobile robot navigation in indoor environments…