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|Title:||Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities||Authors:||Shin, Bok-Suk
|Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2017||Source:||Shin, B.-S., Mou, X., Mou, W., & Wang, H. (2018). Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities. Machine Vision and Applications, 29, 95-112. doi:10.1007/s00138-017-0878-7||Journal:||Machine Vision and Applications||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.||URI:||https://hdl.handle.net/10356/138421||ISSN:||0932-8092||DOI:||10.1007/s00138-017-0878-7||Rights:||© 2017 Springer-Verlag GmbH Germany. All rights reserved. This paper was published in Machine Vision and Applications and is made available with permission of Springer-Verlag GmbH Germany.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Journal Articles|
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