... methods fuse data between camera and radar. The system’s affordability and versatility position it as a potential solution for future development in accessible maritime navigation technologies. image understanding resolution sensor machine learning detection artificial intelligence calibration...

...-specific metric. This method is illustrated on the Retour à la base 2023 race for two MOO algorithms. evolutionary algorithm protocol machine learning weather comparison protocol sailboat optimization problem skipper test case routing artificial intelligence simulation objective grib...

... vortices could predict driving forces and heeling moments within 1% and 5% respectively for a typical range of angle of attacks (AoA) and wing shapes. LL predictions took ~8 seconds on a laptop compared to ~6 hours for 3D RANS simulations running on a High-Performance Computing cluster. A machine learning...

.... machine learning evolutionary algorithm artificial intelligence optimization problem thickness design space failure criterion stiffener yacht design process laminate composite material composite structure safety factor pa mass zenkert & battley configuration optimisation plate theory...

... procedure machine learning twa actuator module overshoot angle procedure tack crew movement rudder angle optimum tack rake stability baseline tack maneuver dvpp THE 23RD CHESAPEAKE SAILING YACHT SYMPOSIUM ANNAPOLIS, MARYLAND, MARCH 2019 Maneuver Simulation and Optimization for AC50 Class...

... are competitive with commercial software such as MaxSea or Adrena. stress function routing optimization problem objective evolutionary algorithm implementation mutation sailboat machine learning isochrone algorithm algorithm boat optimization objective weather forecast least-time route...

...-domain dynamic velocity prediction program (DVPP). The results are demonstrated using a single handed Laser and demonstrate an acceptable level of accuracy. machine learning artificial intelligence orientation centreline capture system yacht mass distribution body segment spenkuch gravity...

... was found to be affordable and comparable in the two cases, demonstrating the effectiveness of the approach machine learning artificial intelligence optimization problem reservoir simulation upstream oil & gas merit function variance optimization prediction sail system experiment...

... the expected time needed to complete the race. machine learning artificial intelligence risk management optimization problem neural network tack node optimal strategy correspond yacht opponent knowledge computation skipper upwind leg wind forecast match race matrix sailing probability...

... and perceptual skills, the correct balance of immersion and interaction is crucial to an effective simulation. This paper will describe why the VSail-Trainer might just have this balance right. machine learning artificial intelligence health & medicine simulation immersion memorisation water...

... rational elements in a rather frequently passionate discussion between sailors, sail designers, naval architects and amateurs to design the right set of sails for a given boat. machine learning evolutionary algorithm artificial intelligence optimization problem reservoir simulation fluid...

... shape at full scale and model agrees well for given trim settings of the spinnaker, while trim settings for driving force optima where quite different. pattern recognition machine learning artificial intelligence flying shape measurement spinnaker apparent wind angle yacht shape measurement...

... will be performed. Than, a statistical analysis of the influencing quantities will be applied, identifying a suitable set of design parameters, and their effect on the performances of a sailing yacht. machine learning artificial intelligence bare hull residuary resistance total resistance resistance...

... example, the tool is used in the context of a more sophisticated application, where it is embedded within an automatic optimization loop, aimed at finding the best rudder history during a tack. It is demonstrated how the optimization gives a significant result in terms of boat performance. machine...

... was not altered and, therefore, the computed total resistance became a direct measure of merit of the bulb design. An outlook is given to a combined optimization of hull and bulb in order to gain optimum improvement. machine learning artificial intelligence constraint optimization solver total...

.... machine learning artificial intelligence statistical indicator displacement knot resistance correlation variance variation residuary resistance regression equation hull mean value independent variable coefficient geometry consequence systematic series dataset indicator correlation...

... obtained by these two methods with the full-scale experiments of a sailing boat, the merit and the demerit of these models are discussed. machine learning artificial intelligence neural network tacking simulation mathematical model j-th neuron output layer application procedure inertia...