On the representation and estimation of spatial uncertainly
International Journal of Robotics Research
Vision-Based SLAM: Stereo and Monocular Approaches
International Journal of Computer Vision
FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
International Journal of Robotics Research
Hierarchical SLAM: Real-Time Accurate Mapping of Large Environments
IEEE Transactions on Robotics
Exactly Sparse Delayed-State Filters for View-Based SLAM
IEEE Transactions on Robotics
Large scale multiple robot visual mapping with heterogeneous landmarks in semi-structured terrain
Robotics and Autonomous Systems
Cooperative SLAM using M-Space representation of linear features
Robotics and Autonomous Systems
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A large-scale mapping approach is combined with multiple robots events to achieve cooperative mapping. The mapping approach used is based on hierarchical SLAM - global level and local maps-, which is generalized for the multi-robot case. In particular, the consequences of multi-robot loop closing events (common landmarks detection and relative pose measurement between robots) are analyzed and managed at a global level. We present simulation results for each of these events using aerial and ground robots, and experimental results obtained with ground robots.