Title
The EuRoC micro aerial vehicle datasets
Abstract
AbstractThis paper presents visual-inertial datasets collected on-board a micro aerial vehicle. The datasets contain synchronized stereo images, IMU measurements and accurate ground truth. The first batch of datasets facilitates the design and evaluation of visual-inertial localization algorithms on real flight data. It was collected in an industrial environment and contains millimeter accurate position ground truth from a laser tracking system. The second batch of datasets is aimed at precise 3D environment reconstruction and was recorded in a room equipped with a motion capture system. The datasets contain 6D pose ground truth and a detailed 3D scan of the environment. Eleven datasets are provided in total, ranging from slow flights under good visual conditions to dynamic flights with motion blur and poor illumination, enabling researchers to thoroughly test and evaluate their algorithms. All datasets contain raw sensor measurements, spatio-temporally aligned sensor data and ground truth, extrinsic and intrinsic calibrations and datasets for custom calibrations.
Year
DOI
Venue
2016
10.1177/0278364915620033
Periodicals
Keywords
Field
DocType
Dataset, visual-inertial, ground truth, MAV
Computer vision,Motion capture,Remote sensing,Tracking system,Motion blur,Flight data,Ranging,Ground truth,Artificial intelligence,Inertial measurement unit,Calibration,Mathematics
Journal
Volume
Issue
ISSN
35
10
0278-3649
Citations 
PageRank 
References 
166
5.73
5
Authors
8
Search Limit
100166
Name
Order
Citations
PageRank
M. Burri134318.62
Janosch Nikolic22259.19
Pascal Gohl31726.32
Thomas Schneider418910.37
Joern Rehder530012.76
sammy omari62218.70
Markus Achtelik771032.78
Roland Siegwart87640551.49