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IFAC-PapersOnLine, 16(48), p. 190-197

DOI: 10.1016/j.ifacol.2015.10.279

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Smart Sensor Based Obstacle Detection for High-Speed Unmanned Surface Vehicle

Journal article published in 2015 by D. Hermann, R. Galeazzi ORCID, J. C. Andersen, M. Blanke ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

This paper describes an obstacle detection system for a high-speed and agile unmanned surface vehicle (USV), running at speeds up to 30 m/s. The aim is a real-time and high performance obstacle detection system using both radar and vision technologies to detect obstacles within a range of 175 m. A computer vision horizon detector enables a highly accurate attitude estimation despite large and sudden vehicle accelerations. This further facilitates the reduction of sea clutter by utilising a attitude based statistical measure. Full scale sea trials show a significant increase in obstacle tracking performance using sensor fusion of radar and computer vision.