Title
Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities.
Abstract
The paper discusses autocalibration, object detection, and object tracking for unmanned surface vehicles. Input data are recorded with a wide-baseline stereo vision system providing accuracy for distance estimations. The paper reports about followed ways and novel contributions for ensuring a working system solution. Automatic self-calibration is used for the wide-baseline stereo vision system. Robust sea surface estimation and the detection of the horizon support the understanding of the given scene environment. Long-range (i.e. up to 500 m) object detection and tracking are supported by the used wide-baseline stereo system. The paper informs about the complete system design, informs about applied or designed methods, and also about experiments which verify that the system achieved an operational state.
Year
DOI
Venue
2018
https://doi.org/10.1007/s00138-017-0878-7
Mach. Vis. Appl.
Keywords
Field
DocType
Unmanned surface vehicle,Autonomous vehicle,Stereo calibration,Self-calibration,Stereo vision,Object detection,Object tracking
Computer vision,Object detection,Stereo cameras,Unmanned surface vehicle,Stereopsis,Computer science,Systems design,Tracking system,Video tracking,Artificial intelligence,Computer stereo vision
Journal
Volume
Issue
ISSN
29
1
0932-8092
Citations 
PageRank 
References 
2
0.42
15
Authors
4
Name
Order
Citations
PageRank
Bok-Suk Shin1689.27
Xiaozheng Mou292.35
Wei Mou3133.79
Han Wang448459.77