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Content Provider | IEEE Xplore Digital Library |
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Author | Min Li Houwei Ji Xiangcun Wang Liyuan Weng Zhenbang Gong |
Copyright Year | 2013 |
Description | Author affiliation: Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China (Min Li; Houwei Ji; Xiangcun Wang; Liyuan Weng; Zhenbang Gong) |
Abstract | A new framework capable of analyzing multi-beam sonar images for detecting and tracking underwater object using a BlueView (BV) Sonar is presented in this paper. This framework is applied to the design of an obstacle avoidance system for Unmanned Measurement Boat. The real-time sonar data flow collected by multi-beam sonar is expressed as an image and pre-processed by the system. According to the characteristics of sonar images, an improved Otsu method has been carried out to detect the object combining with the contour detection algorithm, with which the foreground object can be separated from background successfully. Then the object is tracked by a particle filter tracking method based on multi-feature adaptive fusion. Results obtained on real sonar data show that the proposed framework can detect and track the object accurately and robustly. |
Sponsorship | IEEE Robot. Autom. Soc. |
Starting Page | 1071 |
Ending Page | 1076 |
File Size | 4029697 |
Page Count | 6 |
File Format | |
ISBN | 9781479927449 |
DOI | 10.1109/ROBIO.2013.6739606 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image color analysis Sonar detection Particle filters Image segmentation Sonar measurements Sonar navigation |
Content Type | Text |
Resource Type | Article |
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