28 resultados para Navigation System

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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This study evaluates the influence of different cartographic representations of in-car navigation systems on visual demand, subjective preference, and navigational error. It takes into account the type and complexity of the representation, maneuvering complexity, road layout, and driver gender. A group of 28 drivers (14 male and 14 female) participated in this experiment which was performed in a low-cost driving simulator. The tests were performed on a limited number of instances for each type of representation, and their purpose was to carry out a preliminary assessment and provide future avenues for further studies. Data collected for the visual demand study were analyzed using non-parametric statistical analyses. Results confirmed previous research that showed that different levels of design complexity significantly influence visual demand. Non-grid-like road networks, for example, influence significantly visual demand and navigational error. An analysis of simple maneuvers on a grid-like road network showed that static and blinking arrows did not present significant differences. From the set of representations analyzed to assess visual demand, both arrows were equally efficient. From a gender perspective, women seem to took at the display more than men, but this factor was not significant. With respect to subjective preferences, drivers prefer representations with mimetic landmarks when they perform straight-ahead tasks. For maneuvering tasks, landmarks in a perspective model created higher visual demands.

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The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by preprocessing them to extract image features. Such features are then submitted to a support vector machine in order to find out the most appropriate route. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine, which so far presented around 93% accuracy in predicting the appropriate route. © 2012 IEEE.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This work presents some improvements regarding to the autonomous mobile robot Emmy based on Paraconsistent Annotated Evidential Logic ET. A discussion on navigation system is presented.

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This work presents the Petri net-based modeling of an autonomous robot's navigation system used for the application of supplies in agriculture. The model was developed theoretically and implemented through the CPNTools software. It simulates the behavior of the robot, capturing environmental characteristics by means of sensors, making appropriate decisions, and forwarding them to the corresponding actuators. By exciting the model using CPNTools it is possible to simulate situations that the robot might undergo, without the need to expose it to real potentially dangerous situations. ©2009 IEEE.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia Elétrica - FEIS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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In-Car Navigation System and Route Guidance (RGNS), commercial or free, have adopted different graphic designs to maps which support the navigation task. This paper aims at evaluating the driver's subjective preference for colors to represent route and arrow direction in maps for these systems. A total of 54 drivers (27 males and 27 females) participated in an experiment which was performed in a parked vehicle. Two cartographic representations were produced to evaluate the route color and other two for the arrow color. The route was symbolized by black or blue color and the arrow direction by green or red hue. The cartographic representations were presented in a seven-inch navigation monitor. The results indicate that most drivers prefer the navigation route in black color. However, drivers who regularly use navigation systems have presented the tendency to prefer the route in blue hue. The direction arrow in green hue was the mostly preferred by the drivers and there was no significant correlation between different individual characteristics. This study concludes that drivers' preference was influenced by different factors, such as grouping by color, shape and proximity, subjective or conventional association, as well as by the level of contrast among the map features. Evaluating the performance of cartographic representations in route following task is recommended, in order to support the influence of graphic designs to maps in usability of route guidance systems.

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This work investigates the gender effect on visual demand of drivers for dynamic maps at different cartographic scales presented In-Vehicle Route Guidance and Navigation System (RGNS). A group of 52 subjects (26 males and 26 females) took part in an experiment performed in a low-cost driving simulator. the driver's task consisted of navigating in an unknown route using a RGNS prototype which presents maps at two different cartographic scales. This paper replicates the known phenomenon of significant relationships between gender and performance at visual-spatial tasks issue. Our results show that drivers of different genders present distinct levels of visual demand both due to the cartographic scales and maneuver complexity variation. These discussed results are based upon individual differences in terms of spatial ability and spatial anxiety.