Title | ||
---|---|---|
Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities. |
Abstract | ||
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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 Shin | 1 | 68 | 9.27 |
Xiaozheng Mou | 2 | 9 | 2.35 |
Wei Mou | 3 | 13 | 3.79 |
Han Wang | 4 | 484 | 59.77 |