Abstract
We present a dataset collected from a canoe along the Sangamon River in Illinois. The canoe was equipped with a stereo camera, an inertial measurement unit (IMU), and a global positioning system (GPS) device, which provide visual data suitable for stereo or monocular applications, inertial measurements, and position data for ground truth. We recorded a canoe trip up and down the river for 44 minutes covering a 2.7 km round trip. The dataset adds to those previously recorded in unstructured environments and is unique in that it is recorded on a river, which provides its own set of challenges and constraints that are described in this paper. The dataset is stored on the Illinois Data Bank and can be accessed at: https://doi.org/10.13012/B2IDB-9342111_V1.
Original language | English (US) |
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Pages (from-to) | 13-20 |
Number of pages | 8 |
Journal | The International Journal of Robotics Research |
Volume | 37 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2018 |
Keywords
- SLAM
- dataset
- stereo
- inertial
- IMU
- monocular
- vision
- localization
- mapping
- robotics
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Mechanical Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
- Applied Mathematics
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The Visual-Inertial Canoe Dataset
Miller, M. (Creator), Chung, S.-J. (Creator) & Hutchinson, S. A. (Creator), University of Illinois Urbana-Champaign, Nov 14 2017
DOI: 10.13012/B2IDB-9342111_V1
Dataset