Weather Hazard Avoidance in Modeling Safety of Motor-driven Ship for Multicriteria Weather Routing

2011 ◽  
pp. 165-172 ◽  
Author(s):  
P Krata ◽  
J Szlapczynska
Keyword(s):  
Weather Routing ◽  
Hazard Avoidance

High-speed hazard avoidance for mobile robots in rough terrain

2004 ◽  
Author(s):  
Matthew J. Spenko ◽  
Karl D. Iagnemma ◽  
Steven Dubowsky
Keyword(s):  
Mobile Robots ◽  
High Speed ◽  
Rough Terrain ◽  
Hazard Avoidance

scholarly journals Bioinspired Engineering of Exploration Systems for NASA and DoD

2002 ◽  
Vol 8 (4) ◽  
pp. 357-369 ◽  
Author(s):  
Sarita Thakoor ◽  
Javaan Chahl ◽  
M. V. Srinivasan ◽  
L. Young ◽  
Frank Werblin ◽  
...  
Keyword(s):  
Flight Control ◽  
Image Understanding ◽  
Three Dimensions ◽  
Search Pattern ◽  
Multiple Features ◽  
Nonlinear Network ◽  
Hazard Avoidance ◽  
Biological Studies ◽  
Terrain Following ◽  
Parallel Features

A new approach called bioinspired engineering of exploration systems (BEES) and its value for solving pressing NASA and DoD needs are described. Insects (for example honeybees and dragonflies) cope remarkably well with their world, despite possessing a brain containing less than 0.01% as many neurons as the human brain. Although most insects have immobile eyes with fixed focus optics and lack stereo vision, they use a number of ingenious, computationally simple strategies for perceiving their world in three dimensions and navigating successfully within it. We are distilling selected insect-inspired strategies to obtain novel solutions for navigation, hazard avoidance, altitude hold, stable flight, terrain following, and gentle deployment of payload. Such functionality provides potential solutions for future autonomous robotic space and planetary explorers. A BEES approach to developing lightweight low-power autonomous flight systems should be useful for flight control of such biomorphic flyers for both NASA and DoD needs. Recent biological studies of mammalian retinas confirm that representations of multiple features of the visual world are systematically parsed and processed in parallel. Features are mapped to a stack of cellular strata within the retina. Each of these representations can be efficiently modeled in semiconductor cellular nonlinear network (CNN) chips. We describe recent breakthroughs in exploring the feasibility of the unique blending of insect strategies of navigation with mammalian visual search, pattern recognition, and image understanding into hybrid biomorphic flyers for future planetary and terrestrial applications. We describe a few future mission scenarios for Mars exploration, uniquely enabled by these newly developed biomorphic flyers.

Investigation of the Capacity Factor of Weather-Routed Energy Ships Deployed in the Near-Shore

2021 ◽  
Author(s):  
Roshamida Abd Jamil ◽  
Jean-Christophe Gilloteaux ◽  
Philippe Lelong ◽  
Aurélien Babarit
Keyword(s):  
Wind Power ◽  
North Atlantic Ocean ◽  
Capacity Factor ◽  
Offshore Wind ◽  
Power Performance ◽  
Weather Forecasts ◽  
The North ◽  
Weather Routing ◽  
Near Shore ◽  
Water Turbines

Abstract The energy ship concept has been proposed as an alternative wind power conversion system to harvest offshore wind energy. Energy ships are ships propelled by the wind and which generate electricity by means of water turbines attached underneath their hull, The generated electricity is stored on-board (batteries, hydrogen, etc.) It has been shown that energy ships deployed far-offshore in the North Atlantic Ocean may achieve capacity factors over 80% using weather-routing. The present paper complements this research by investigating the capacity factors of energy ships harvesting wind power in the near-shore. Two case studies are considered: the French islands of Saint-Pierre et-Miquelon, near Canada, and Ile de Sein, near metropolitan France. The methodology is as follows. First, the design of the energy ship considered in this study is presented. It was developed using an in-house Velocity, and Power Performance Program (VPPP) developed at LHEEA. The velocity and power production polar plots of the ship were used as input to a modified version of the weather-routing software QtVlm. This software was then used for capacity factor optimization using 10m altitude wind data analysis which was extracted from the ERA-Interim dataset provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three years (2015, 2016, and 2017) data are considered. The results show that average capacity factors of approximately 40% and 40% can be achieved at Ile de Sein and Saint-Pierre-et-Miquelon with considered energy ship design.

GN&C, and Precision Landing and Hazard Avoidance Technology Demonstration

2007 ◽  
Author(s):  
Robert Frampton ◽  
James Ball ◽  
Karl Oittinen ◽  
Sunil Tandon ◽  
Daniel Schwab ◽  
...  
Keyword(s):  
Hazard Avoidance ◽  
Technology Demonstration ◽  
Precision Landing

scholarly journals Fuel Saving by Weather Routing : Simulation Using Actual Voyage Data of the Container Ship

2004 ◽  
Vol 111 (0) ◽  
pp. 259-266 ◽  
Author(s):  
Kyoko TAKASHIMA ◽  
Hideki HAGIWARA ◽  
Ruri SHOJI
Keyword(s):  
Container Ship ◽  
Fuel Saving ◽  
Weather Routing
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