Proceedings of OCEANS'94
DOI: 10.1109/oceans.1994.364049
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DCPA simulation model for automatic collision avoidance decision making systems using fuzzy sets

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Cited by 9 publications
(3 citation statements)
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“…Another popular safety criterion, which was first proposed by Fujii and Tanaka (1971) is the use of ship domain – a physical spacing around the ship to ensure sufficient separation between ships. Ship domain has been adopted in collision-risk assessments (Fujii and Tanaka, 1971; Goodwin, 1975; Pietrzykowski, 2008; Pietrzykowski and Uriasz, 2009), collision-avoidance pre-emption (Dove et al, 1986; Zhao et al, 1994), traffic simulation (Davis et al, 1980; Coldwell, 1983; Hansen et al, 2013), as well as navigational path planning (Smierzchalski and Michalewicz, 2000; Szlapczynski, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Another popular safety criterion, which was first proposed by Fujii and Tanaka (1971) is the use of ship domain – a physical spacing around the ship to ensure sufficient separation between ships. Ship domain has been adopted in collision-risk assessments (Fujii and Tanaka, 1971; Goodwin, 1975; Pietrzykowski, 2008; Pietrzykowski and Uriasz, 2009), collision-avoidance pre-emption (Dove et al, 1986; Zhao et al, 1994), traffic simulation (Davis et al, 1980; Coldwell, 1983; Hansen et al, 2013), as well as navigational path planning (Smierzchalski and Michalewicz, 2000; Szlapczynski, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Since ship domain is a psychological barrier (Fujii & Tanaka, 1971) and does not have a hard boundary between safety and danger (J. S. Zhao, Wu, & Wang, 1993), researchers suggested to use the fuzzy ship domain with fuzzy boundaries, see (J. Zhao, Tan, Price, & Wilson, 1994;J. S. Zhao et al, 1993), to fit the OOW's judgments.…”
Section: Collision Risk Indexmentioning
confidence: 99%
“…The first study pertains to fuzzy neural networks, which use fuzzy rules to infer the static and dynamic degrees of danger (Hiraga et al, 1995). The second analytical method uses fuzzy logic to describe an operator's recognition rules for collision avoidance (Hammer and Hara, 1990; Shimada et al, 1991; Zhao et al, 1994). In addition to these methods, a probabilistic framework has been presented for designing and analysing existing Collision Avoidance (CA) algorithms, enabling on-line risk computation for faulty intervention and the consequences of different actions based on Monte Carlo techniques (Jansson and Gustafsson, 2008).…”
Section: Literature Reviewmentioning
confidence: 99%