The UTIAS multi-robot cooperative localization and mapping dataset
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Descriptor for a multi-robot localization and mapping dataset; sharing a domain benchmark dataset is doing research, not studying data sharing, so it falls outside the metaresearch ecosystem despite being a resource paper.
The paper presents a robotics dataset for use in research but does not study research infrastructure itself.
Robotics multi-robot localization and SLAM dataset for domain algorithms, not research practice.
Résumé
This paper presents a two-dimensional multi-robot cooperative localization and mapping dataset collection for research and educational purposes. The dataset consists of nine sub-datasets, which can be used for studying problems such as robot-only cooperative localization , cooperative localization with a known map, and cooperative simultaneous localization and mapping (SLAM) . The data collection process is discussed in detail, including the equipment we used, how measurements were made and logged, and how we obtained groundtruth data for all robots and landmarks. The format of each file in each sub-dataset is also provided. The dataset is available for download at http://asrl.utias.utoronto.ca/datasets/mrclam/.
Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.
La notice
- Revue
- The International Journal of Robotics Research
- Thématique
- Robotics and Sensor-Based Localization
- Domaine
- Engineering
- Établissements canadiens
- Institute for Christian StudiesUniversity of Toronto
- Organismes subventionnaires
- —
- Mots-clés
- RobotSimultaneous localization and mappingComputer scienceArtificial intelligenceProcess (computing)Data collectionComputer visionData miningMobile robotMathematics
- Résumé présent dans OpenAlex
- oui