Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities
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 workin...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/138421 |
| _version_ | 1826129423347220480 |
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| author | Shin, Bok-Suk Mou, Xiaozheng Mou, Wei Wang, Han |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Shin, Bok-Suk Mou, Xiaozheng Mou, Wei Wang, Han |
| author_sort | Shin, Bok-Suk |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:40:21Z |
| format | Journal Article |
| id | ntu-10356/138421 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:40:21Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1384212020-05-06T02:12:44Z Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities Shin, Bok-Suk Mou, Xiaozheng Mou, Wei Wang, Han School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Unmanned Surface Vehicle Autonomous Vehicle 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. 2020-05-06T02:12:44Z 2020-05-06T02:12:44Z 2017 Journal Article 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 0932-8092 https://hdl.handle.net/10356/138421 10.1007/s00138-017-0878-7 2-s2.0-85030311625 29 95 112 en Machine Vision and Applications © 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. |
| spellingShingle | Engineering::Electrical and electronic engineering Unmanned Surface Vehicle Autonomous Vehicle Shin, Bok-Suk Mou, Xiaozheng Mou, Wei Wang, Han Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title | Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title_full | Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title_fullStr | Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title_full_unstemmed | Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title_short | Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| title_sort | vision based navigation of an unmanned surface vehicle with object detection and tracking abilities |
| topic | Engineering::Electrical and electronic engineering Unmanned Surface Vehicle Autonomous Vehicle |
| url | https://hdl.handle.net/10356/138421 |
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