Day and night collaborative dynamic mapping in unstructured environment based on multimodal sensors
Enabling long-term operation during day and night for collaborative robots requires a
comprehensive understanding of the unstructured environment. Besides, in the dynamic …
comprehensive understanding of the unstructured environment. Besides, in the dynamic …
A hierarchical framework for collaborative probabilistic semantic mapping
Performing collaborative semantic mapping is a critical challenge for cooperative robots to
maintain a comprehensive contextual understanding of the surroundings. Most of the …
maintain a comprehensive contextual understanding of the surroundings. Most of the …
Hierarchical probabilistic fusion framework for matching and merging of 3-d occupancy maps
Fusing 3-D maps generated by multiple robots in real/semi-real time distributed mapping
systems are addressed in this paper. A 3-D occupancy grid-based approach for mapping is …
systems are addressed in this paper. A 3-D occupancy grid-based approach for mapping is …
A multilevel fusion system for multirobot 3-d mapping using heterogeneous sensors
Operating multiple robots in an unstructured environment is challenging due to its high
complexity and uncertainty. In such applications, the integration of individual maps …
complexity and uncertainty. In such applications, the integration of individual maps …
Energy-efficient ground traversability mapping based on UAV-UGV collaborative system
J Li, Y Cheng, J Zhou, J Chen, Z Liu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the development of science and technology, robots have been widely used in smart
cities. The traversability mapping of environment perception is the prerequisite for robots to …
cities. The traversability mapping of environment perception is the prerequisite for robots to …
[图书][B] Collaborative Perception, Localization and Mapping for Autonomous Systems
This book presents the breakthrough and cutting-edge progress for collaborative perception
and mapping by proposing a novel framework of multimodal perception-relative localization …
and mapping by proposing a novel framework of multimodal perception-relative localization …
Magnetic-assisted initialization for infrastructure-free mobile robot localization
Most of the existing mobile robot localization solutions are either heavily dependent on pre-
installed infrastructures or having difficulty working in highly repetitive environments which …
installed infrastructures or having difficulty working in highly repetitive environments which …
Features matching based merging of 3D maps in multi-robot systems
M Drwięga - 2019 24th International Conference on Methods …, 2019 - ieeexplore.ieee.org
The paper focuses on the feature matching based merging of 3D maps in a multi-robot
system. The presented approach works globally what means that an initial transformation is …
system. The presented approach works globally what means that an initial transformation is …
Robust submap-based probabilistic inconsistency detection for multi-robot mapping
The primary goal of employing multiple robots in active mapping tasks is to generate a
globally consistent map efficiently. However, detecting the inconsistency of the generated …
globally consistent map efficiently. However, detecting the inconsistency of the generated …
Probabilistic fusion framework for collaborative robots 3d mapping
Fusion of local 3D maps generated by individual robots to a globally consistent 3D map is
one of the fundamental challenges in multi-robot mapping missions. In this paper, we …
one of the fundamental challenges in multi-robot mapping missions. In this paper, we …