Guoquan Chen

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Marine accidents such as collision, running aground and striking a reef not only bring on personnel casualty, but also make great threat to ocean environment. For making "the safer the vessel sail, the cleaner the ocean is", the problem of vessel automatic anti-collision should be resolved as soon as possible. Automatic generation of intelligent(More)
Machine learning is the key technology for constructing a dynamic collision avoidance knowledge-base and realizing the Personifying Intelligent Decision-making for Vessel Collision Avoidance (short form for PIDVCA). Based on the aim and realization method of PIDVCA, this thesis puts forwards a Meta-Knowledge representation integrated method, which is(More)
Based on the fruits of authorspsila researching on vessel automatic anti-collision in the past decade, discussed the connotation of the dasiaPersonifying Intelligent Decision-making for Vessel Collision Avoidance (PIDVCA for short)psila, brought forward the researching aim of the PIDVCA. And then according to the procedure of vessel anti-avoidance, put(More)
Both radar and AIS (Automatic Identification System) are the most important navigational equipment for a ship. But, there are some differences between them in the performance and the target information. The paper studied the difference and characteristic of the dynamic target information from the radar and the AIS. Based on the survey platform of the target(More)
In order to address the problem of detecting and tracking very low observable (VLO) targets in heavy clutter, a fast ergodic Hough transform (FEHT) algorithm is proposed. The contributions consist of three aspects. First, the FEHT does not invoke a random combination but rather an ergodic combination of all possible measurement pairs to generate the line(More)
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