The UTIAS multi-robot cooperative localization and mapping dataset
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
The three-model screen
all 1,000 screened works →All three models called this out of scope.
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.
Abstract
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/.
Stored with the screening record, where it is evidence for the labels above.
The record
- Venue
- The International Journal of Robotics Research
- Topic
- Robotics and Sensor-Based Localization
- Field
- Engineering
- Canadian institutions
- Institute for Christian StudiesUniversity of Toronto
- Funders
- —
- Keywords
- RobotSimultaneous localization and mappingComputer scienceArtificial intelligenceProcess (computing)Data collectionComputer visionData miningMobile robotMathematics
- Has abstract in OpenAlex
- yes