898 resultados para crash avoidance, path planning, spatial modeling, object tracking


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Information about rainfall erosivity is important during soil and water conservation planning. Thus, the spatial variability of rainfall erosivity of the state Mato Grosso do Sul was analyzed using ordinary kriging interpolation. For this, three pluviograph stations were used to obtain the regression equations between the erosivity index and the rainfall coefficient EI30. The equations obtained were applied to 109 pluviometric stations, resulting in EI30 values. These values were analyzed from geostatistical technique, which can be divided into: descriptive statistics, adjust to semivariogram, cross-validation process and implementation of ordinary kriging to generate the erosivity map.Highest erosivity values were found in central and northeast regions of the State, while the lowest values were observed in the southern region. In addition, high annual precipitation values not necessarily produce higher erosivity values.

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This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.

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ABSTRACT Precision agriculture adoption in Brazilian apple orchards is still incipient. This study aimed at evaluating the spatial variability of certain soil properties as soil density, soil penetration resistance, electrical conductivity, yield, and fruit quality in an apple orchard through digital mapping, as well as assessing the correlation between these factors by means of geostatistics, establishing management zones. Forty representative points were set within 2.5 hectares of apple orchard, wherein soil samples were collected and analyzed, besides measurements of fruit quality (Brix degree, size or diameter, pulp firmness and color) to generate an overall index quality. We concluded that the fruit quality indexes, when isolated, did not show strong spatial dependence, unlike the index of fruit quality (FQI), derived from a combination of these parameters, allowing orchard planning according to management zones based on quality.

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This work describes techniques for modeling, optimizing and simulating calibration processes of robots using off-line programming. The identification of geometric parameters of the nominal kinematic model is optimized using techniques of numerical optimization of the mathematical model. The simulation of the actual robot and the measurement system is achieved by introducing random errors representing their physical behavior and its statistical repeatability. An evaluation of the corrected nominal kinematic model brings about a clear perception of the influence of distinct variables involved in the process for a suitable planning, and indicates a considerable accuracy improvement when the optimized model is compared to the non-optimized one.

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The power rating of wind turbines is constantly increasing; however, keeping the voltage rating at the low-voltage level results in high kilo-ampere currents. An alternative for increasing the power levels without raising the voltage level is provided by multiphase machines. Multiphase machines are used for instance in ship propulsion systems, aerospace applications, electric vehicles, and in other high-power applications including wind energy conversion systems. A machine model in an appropriate reference frame is required in order to design an efficient control for the electric drive. Modeling of multiphase machines poses a challenge because of the mutual couplings between the phases. Mutual couplings degrade the drive performance unless they are properly considered. In certain multiphase machines there is also a problem of high current harmonics, which are easily generated because of the small current path impedance of the harmonic components. However, multiphase machines provide special characteristics compared with the three-phase counterparts: Multiphase machines have a better fault tolerance, and are thus more robust. In addition, the controlled power can be divided among more inverter legs by increasing the number of phases. Moreover, the torque pulsation can be decreased and the harmonic frequency of the torque ripple increased by an appropriate multiphase configuration. By increasing the number of phases it is also possible to obtain more torque per RMS ampere for the same volume, and thus, increase the power density. In this doctoral thesis, a decoupled d–q model of double-star permanent-magnet (PM) synchronous machines is derived based on the inductance matrix diagonalization. The double-star machine is a special type of multiphase machines. Its armature consists of two three-phase winding sets, which are commonly displaced by 30 electrical degrees. In this study, the displacement angle between the sets is considered a parameter. The diagonalization of the inductance matrix results in a simplified model structure, in which the mutual couplings between the reference frames are eliminated. Moreover, the current harmonics are mapped into a reference frame, in which they can be easily controlled. The work also presents methods to determine the machine inductances by a finite-element analysis and by voltage-source inverters on-site. The derived model is validated by experimental results obtained with an example double-star interior PM (IPM) synchronous machine having the sets displaced by 30 electrical degrees. The derived transformation, and consequently, the decoupled d–q machine model, are shown to model the behavior of an actual machine with an acceptable accuracy. Thus, the proposed model is suitable to be used for the model-based control design of electric drives consisting of double-star IPM synchronous machines.

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A study on the spatial distribution of the major weeds in maize was carried out in 2007 and 2008 in a field located in Golegã (Ribatejo region, Portugal). The geo-referenced sampling focused on 150 points of a 10 x 10 m mesh covering an area of 1.5 ha, before herbicide application and before harvest. In the first year, 40 species (21 botanical families) were identified at seedling stage and only 22 during the last observation. The difference in species richness can be attributed to maize monoculture favouring reduction in species number. Three of the most representative species were selected for the spatial distribution analysis: Solanum nigrum, Chenopodium album and Echinochloa crus-galli. The three species showed an aggregated spatial pattern and spatial stability over both years, although the herbicide effect is evident in the distribution of some of them in the space. These results could be taken into account when planning site-specific treatments in maize.

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The aim of the present set of longitudinal studies was to explore 3-7-year-old children.s Spontaneous FOcusing on Numerosity (SFON) and its relation to early mathematical development. The specific goals were to capture in method and theory the distinct process by which children focus on numerosity as a part of their activities involving exact number recognition, and individual differences in this process that may be informative in the development of more complex number skills. Over the course of conducting the five studies, fifteen novel tasks were progressively developed for the SFON assessments. In the tasks, confounding effects of insufficient number recognition, verbal comprehension, other procedural skills as well as working memory capacity were aimed to be controlled. Furthermore, how children.s individual differences in SFON are related to their development of number sequence, subitizing-based enumeration, object counting and basic arithmetic skills was explored. The effect of social interaction on SFON was tested. Study I captured the first phase of the 3-year longitudinal study with 39 children. It was investigated whether there were differences in 3-year-old children.s tendency to focus on numerosity, and whether these differences were related to the children.s development of cardinality recognition skills from the age of 3 to 4 years. It was found that the two groups of children formed on the basis of their amount of SFON tendency at the age of 3 years differed in their development of recognising and producing small numbers. The children whose SFON tendency was very predominant developed faster in cardinality related skills from the age of 3 to 4 years than the children whose SFON tendency was not as predominant. Thus, children.s development in cardinality recognition skills is related to their SFON tendency. Studies II and III were conducted to investigate, firstly, children.s individual differences in SFON, and, secondly, whether children.s SFON is related to their counting development. Altogether nine tasks were designed for the assessments of spontaneous and guided focusing on numerosity. The longitudinal data of 39 children in Study II from the age of 3.5 to 6 years showed individual differences in SFON at the ages of 4, 5 and 6 years, as well as stability in children.s SFON across tasks used at different ages. The counting skills were assessed at the ages of 3.5, 5 and 6 years. Path analyses indicated a reciprocal tendency in the relationship between SFON and counting development. In Study III, these results on the individual differences in SFON tendency, the stability of SFON across different tasks and the relationship of SFON and mathematical skills were confirmed by a larger-scale cross-sectional study of 183 on average 6.5-year-old children (range 6;0-7;0 years). The significant amount of unique variance that SFON accounted for number sequence elaboration, object counting and basic arithmetic skills stayed statistically significant (partial correlations varying from .27 to .37) when the effects of non-verbal IQ and verbal comprehension were controlled. In addition, to confirm that the SFON tasks assess SFON tendency independently from enumeration skills, guided focusing tasks were used for children who had failed in SFON tasks. It was explored whether these children were able to proceed in similar tasks to SFON tasks once they were guided to focus on number. The results showed that these children.s poor performance in the SFON tasks was not caused by their deficiency in executing the tasks but on lacking focusing on numerosity. The longitudinal Study IV of 39 children aimed at increasing the knowledge of associations between children.s long-term SFON tendency, subitizing-based enumeration and verbal counting skills. Children were tested twice at the age of 4-5 years on their SFON, and once at the age of 5 on their subitizing-based enumeration, number sequence production, as well as on their skills for counting of objects. Results showed considerable stability in SFON tendency measured at different ages, and that there is a positive direct association between SFON and number sequence production. The association between SFON and object counting skills was significantly mediated by subitizing-based enumeration. These results indicate that the associations between the child.s SFON and sub-skills of verbal counting may differ on the basis of how significant a role understanding the cardinal meanings of number words plays in learning these skills. The specific goal of Study V was to investigate whether it is possible to enhance 3-year old children.s SFON tendency, and thus start children.s deliberate practice in early mathematical skills. Participants were 3-year-old children in Finnish day care. The SFON scores and cardinality-related skills of the experimental group of 17 children were compared to the corresponding results of the 17 children in the control group. The results show an experimental effect on SFON tendency and subsequent development in cardinality-related skills during the 6-month period from pretest to delayed posttest in the children with some initial SFON tendency in the experimental group. Social interaction has an effect on children.s SFON tendency. The results of the five studies assert that within a child.s existing mathematical competence, it is possible to distinguish a separate process, which refers to the child.s tendency to spontaneously focus on numerosity. Moreover, there are significant individual differences in children.s SFON at the age of 3-7 years. Moderate stability was found in this tendency across different tasks assessed both at the same and at different ages. Furthermore, SFON tendency is related to the development of early mathematical skills. Educational implications of the findings emphasise, first, the importance of regarding focusing on numerosity as a separate, essential process in the assessments of young children.s mathematical skills. Second, the substantial individual differences in SFON tendency during the childhood years suggest that uncovering and modeling this kind of mathematically meaningful perceiving of the surroundings and tasks could be an efficient tool for promoting young children.s mathematical development, and thus prevent later failures in learning mathematical skills. It is proposed to consider focusing on numerosity as one potential sub-process of activities involving exact number recognition in future studies.

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Many industrial applications need object recognition and tracking capabilities. The algorithms developed for those purposes are computationally expensive. Yet ,real time performance, high accuracy and small power consumption are essential measures of the system. When all these requirements are combined, hardware acceleration of these algorithms becomes a feasible solution. The purpose of this study is to analyze the current state of these hardware acceleration solutions, which algorithms have been implemented in hardware and what modifications have been done in order to adapt these algorithms to hardware.

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Object detection is a fundamental task of computer vision that is utilized as a core part in a number of industrial and scientific applications, for example, in robotics, where objects need to be correctly detected and localized prior to being grasped and manipulated. Existing object detectors vary in (i) the amount of supervision they need for training, (ii) the type of a learning method adopted (generative or discriminative) and (iii) the amount of spatial information used in the object model (model-free, using no spatial information in the object model, or model-based, with the explicit spatial model of an object). Although some existing methods report good performance in the detection of certain objects, the results tend to be application specific and no universal method has been found that clearly outperforms all others in all areas. This work proposes a novel generative part-based object detector. The generative learning procedure of the developed method allows learning from positive examples only. The detector is based on finding semantically meaningful parts of the object (i.e. a part detector) that can provide additional information to object location, for example, pose. The object class model, i.e. the appearance of the object parts and their spatial variance, constellation, is explicitly modelled in a fully probabilistic manner. The appearance is based on bio-inspired complex-valued Gabor features that are transformed to part probabilities by an unsupervised Gaussian Mixture Model (GMM). The proposed novel randomized GMM enables learning from only a few training examples. The probabilistic spatial model of the part configurations is constructed with a mixture of 2D Gaussians. The appearance of the parts of the object is learned in an object canonical space that removes geometric variations from the part appearance model. Robustness to pose variations is achieved by object pose quantization, which is more efficient than previously used scale and orientation shifts in the Gabor feature space. Performance of the resulting generative object detector is characterized by high recall with low precision, i.e. the generative detector produces large number of false positive detections. Thus a discriminative classifier is used to prune false positive candidate detections produced by the generative detector improving its precision while keeping high recall. Using only a small number of positive examples, the developed object detector performs comparably to state-of-the-art discriminative methods.

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Fluid inteliigence has been defined as an innate ability to reason which is measured commonly by the Raven's Progressive Matrices (RPM). Individual differences in fluid intelligence are currently explained by the Cascade model (Fry & Hale, 1996) and the Controlled Attention hypothesis (Engle, Kane, & Tuholski, 1999; Kane & Engle, 2002). The first theory is based on a complex relation among age, speed, and working memory which is described as a Cascade. The alternative to this theory, the Controlled Attention hypothesis, is based on the proposition that it is the executive attention component of working memory that explains performance on fluid intelligence tests. The first goal of this study was to examine whether the Cascade model is consistent within the visuo-spatial and verbal-numerical modalities. The second goal was to examine whether the executive attention component ofworking memory accounts for the relation between working memory and fluid intelligence. Two hundred and six undergraduate students between the ages of 18 and 28 completed a battery of cognitive tests selected to measure processing speed, working memory, and controlled attention which were selected from two cognitive modalities, verbalnumerical and visuo-spatial. These were used to predict performance on two standard measures of fluid intelligence: the Raven's Progressive Matrices (RPM) and the Shipley Institute of Living Scales (SILS) subtests. Multiple regression and Structural Equation Modeling (SEM) were used to test the Cascade model and to determine the independent and joint effects of controlled attention and working memory on general fluid intelligence. Among the processing speed measures only spatial scan was related to the RPM. No other significant relations were observed between processing speed and fluid intelligence. As 1 a construct, working memory was related to the fluid intelligence tests. Consistent with the predictions for the RPM there was support for the Cascade model within the visuo-spatial modality but not within the verbal-numerical modality. There was no support for the Cascade model with respect to the SILS tests. SEM revealed that there was a direct path between controlled attention and RPM and between working memory and RPM. However, a significant path between set switching and RPM explained the relation between controlled attention and RPM. The prediction that controlled attention mediated the relation between working memory and RPM was therefore not supported. The findings support the view that the Cascade model may not adequately explain individual differences in fluid intelligence and this may be due to the differential relations observed between working memory and fluid intelligence across different modalities. The findings also show that working memory is not a domain-general construct and as a result its relation with fluid intelligence may be dependent on the nature of the working memory modality.

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Le paysage sonore est une forme de perception de notre environnement qui nous permet d’identifier les composantes sonores de notre quotidien. Ce projet de recherche porte sur une thématique particulière, les sons produits par les végétaux et leurs rôles dans les ambiances sonores paysagères. C’est la perspective que nous avons explorée in situ, en comparant les différentes espèces végétales; cette collection d’informations nous permet de proposer une typologie d’ambiances sonores des végétaux. Dans la première partie, des notions rattachées au « monde sonore » telles que l’objet sonore, le paysage sonore et les effets sonores justifient d’établir, dans la méthodologie, une grille d’analyse comportant différentes échelles d’écoute. Une lecture multidisciplinaire propose, d’une part, de réunir de l’information sur le son et les végétaux, la morphologie de ces derniers, l’aménagement au site, les conditions climatiques et, d’autre part, de retrouver ce qui a trait au son dans l’histoire des jardins, dont les jardins sensoriels, thérapeutiques, technologiques, et des sentiers d’interprétation sonore, sous l’angle du son comme projet. De plus, une liste de végétaux recevant les chants et cris de la faune vient introduire la notion de biodiversité sonore. Une enquête sociale de terrain, par la méthode des parcours commentés, et une enquête « experte » ont été réalisées au Jardin botanique de Montréal. Ces deux enquêtes nous ont permis de constituer une grille d’analyse croisée comprenant plusieurs échelles d’écoute : textures, actions sonores, effets sonores... De là, des générateurs d’ambiance (morphologie, organisation, climat) ont été relevés pour déterminer les aspects de récurrences et de différenciations d’un type d’ambiance sonore à l’autre. Des associations se sont formées en fonction de onze types de végétaux, chacun comprenant plusieurs sous-catégories. Celles-ci proposent des ambiances sonores spécifiques, des échelles d’écoute à considérer pour chaque type d’ambiance et l’énumération d’espèces à utiliser. Cette recherche ouvre la voie à un autre type de lecture sonore, par thématique d’ambiance (les sons du végétal dans notre cas), afin d’offrir de nouveaux outils de conception pour les professionnels, en profonde relation avec les perceptions sonores d’usagers sur le terrain et l’agencement spécifique d’un site.

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L’évolution de l’urbanisation dans le monde nous a motivés à développer nos recherches quant à cette croissance déchaînée des villes et ces multitudes de formes urbaines qui en résultent. L'objet de ce travail est d'analyser ces formes de croissance spatiales et d’analyse leur impact sur l’identité dans la ville. Il s'agit de montrer dans quelle mesure elles favorisent la prolifération de nouvelles identités dans les régions périphériques de la ville. Notre recherche porte alors sur une étude socio spatiale de la capitale de la Tunisie. Tunis, cette métropole en pleine expansion, occupe un emplacement stratégique dans la Méditerranée et joue un rôle important dans les échanges afro-européens. La pertinence de l’étude de l’évolution du domaine urbain de Tunis résulte du fait que cette ville a connu différents types de croissances. La variété des modes de développement de l’espace urbain fait de Tunis un exemple pertinent qui mérite d’être étudié, d’autant plus que l’espace englobe des banlieues planifiées, spontanées, historiques, et bien d’autres qui résultent du juste fait de l’informalité, allant du patrimoine à la construction d’une identité urbaine plurielle. Notre travail comportera donc une étude spatiale de l’évolution de l’espace urbain de Tunis, basée essentiellement sur des cartes et des photos satellites, doublées d’une analyse sociale, basée sur une enquête in situ, réalisée avec les habitants des banlieues, et ce, dans le but de recenser leurs degrés d’attachement à l’espace ainsi que les rapports qu’ils entament avec le centre-ville. Notre recherche nous a permis de conclure que les habitants des banlieues s’identifient aux nouvelles formes de croissance et développent au fil des années un sentiment d’appartenance et d’attachement identitaire à leurs quartiers. Cela contribue à la prolifération d’identités multiple dans la ville.

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Les systèmes Matériels/Logiciels deviennent indispensables dans tous les aspects de la vie quotidienne. La présence croissante de ces systèmes dans les différents produits et services incite à trouver des méthodes pour les développer efficacement. Mais une conception efficace de ces systèmes est limitée par plusieurs facteurs, certains d'entre eux sont: la complexité croissante des applications, une augmentation de la densité d'intégration, la nature hétérogène des produits et services, la diminution de temps d’accès au marché. Une modélisation transactionnelle (TLM) est considérée comme un paradigme prometteur permettant de gérer la complexité de conception et fournissant des moyens d’exploration et de validation d'alternatives de conception à des niveaux d’abstraction élevés. Cette recherche propose une méthodologie d’expression de temps dans TLM basée sur une analyse de contraintes temporelles. Nous proposons d'utiliser une combinaison de deux paradigmes de développement pour accélérer la conception: le TLM d'une part et une méthodologie d’expression de temps entre différentes transactions d’autre part. Cette synergie nous permet de combiner dans un seul environnement des méthodes de simulation performantes et des méthodes analytiques formelles. Nous avons proposé un nouvel algorithme de vérification temporelle basé sur la procédure de linéarisation des contraintes de type min/max et une technique d'optimisation afin d'améliorer l'efficacité de l'algorithme. Nous avons complété la description mathématique de tous les types de contraintes présentées dans la littérature. Nous avons développé des méthodes d'exploration et raffinement de système de communication qui nous a permis d'utiliser les algorithmes de vérification temporelle à différents niveaux TLM. Comme il existe plusieurs définitions du TLM, dans le cadre de notre recherche, nous avons défini une méthodologie de spécification et simulation pour des systèmes Matériel/Logiciel basée sur le paradigme de TLM. Dans cette méthodologie plusieurs concepts de modélisation peuvent être considérés séparément. Basée sur l'utilisation des technologies modernes de génie logiciel telles que XML, XSLT, XSD, la programmation orientée objet et plusieurs autres fournies par l’environnement .Net, la méthodologie proposée présente une approche qui rend possible une réutilisation des modèles intermédiaires afin de faire face à la contrainte de temps d’accès au marché. Elle fournit une approche générale dans la modélisation du système qui sépare les différents aspects de conception tels que des modèles de calculs utilisés pour décrire le système à des niveaux d’abstraction multiples. En conséquence, dans le modèle du système nous pouvons clairement identifier la fonctionnalité du système sans les détails reliés aux plateformes de développement et ceci mènera à améliorer la "portabilité" du modèle d'application.

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La vision fournit des informations essentielles sur la surface de marche, ainsi que sur la taille, la forme et la position d’obstacles potentiels dans notre environnement. Dans le cas d’un prédateur, la vision fournit également des informations sur la vitesse d’une proie potentielle. Les mécanismes neuronaux impliqués dans l’exécution des modifications de la marche sous guidage visuel sont relativement bien connus, mais ceux impliqués dans la planification de ces modifications de la marche sont peu étudiés. Le cortex pariétal postérieur (CPP) semble être un candidat approprié si l’on considère les propriétés du CPP lors des mouvements d’atteinte vers une cible. Le but des présents travaux est de déterminer la contribution du CPP au contrôle de la locomotion sous guidage visuel. La première étude présentée dans cette thèse a pour hypothèse que le CPP du chat est impliqué dans la planification du placement précis du pied lors des modifications volontaires de la marche. Nous avons entraîné les animaux à enjamber des obstacles en mouvement attachés à la ceinture d’un tapis roulant. Afin d’augmenter la nécessité d’intégrer les informations visuelles et proprioceptives, nous avons dissocié la vitesse des obstacles de celle du tapis roulant. Nous avons observé que plus la vision devient critique pour la tâche, plus les déficits sont importants. Notre analyse démontre que ceux-ci résultent d’un placement inapproprié du pied dans le cycle de marche précédant l’enjambement de l’obstacle. Ceci suggère que le CPP est impliqué dans la planification du placement précis du pied pendant la locomotion sous guidage visuel. La vision directe est disponible lors de la modification de l’activité des membres antérieurs, mais n’est plus disponible lorsque l’obstacle passe sous le corps. Par conséquent, la modification de l’activité des membres postérieurs doit être basée sur l’information gardée en mémoire et coordonnée avec celle des membres antérieurs. Notre deuxième étude a pour but de caractériser les mécanismes neuronaux responsables de cette coordination. Nous avons proposé que le CPP soit impliqué dans la coordination des membres antérieurs et postérieurs lors de l’enjambement d’obstacles. Pour tester cette hypothèse, nous avons enregistré l’activité de neurones de l’aire 5 pendant la même tâche. Nous avons découvert deux populations: une qui décharge lors du passage de l’obstacle entre les membres antérieurs et postérieurs et une autre qui décharge lors du passage de l’obstacle par les membres postérieurs. Dans la tâche de dissociation visuelle, la décharge est modifiée en fonction du temps de passage de l’obstacle sous le corps et reflète la modification du couplage entre les membres lors du changement dans la stratégie d’enjambement. De plus, ces mêmes neurones maintiennent une décharge soutenue lorsqu’un obstacle fixe se trouve entre les membres antérieurs et postérieurs ou les deux membres postérieurs (limite testée : 1-2min). Ces neurones pourraient être responsables de l’emmagasinage à plus long terme des caractéristiques d’un obstacle pour le guidage des mouvements des membres postérieurs. Nos résultats suggèrent que le CPP est impliqué dans l’intégration des informations visuelles et proprioceptives pour la planification du placement précis du pied devant un obstacle. Le patron de décharge de nos populations neuronales suggère qu’il encode également l’information temporelle et spatiale concernant la vitesse et la position de l’obstacle afin de coordonner l’activité des quatre membres pendant la tâche. Finalement, nous proposons qu’une des fonctions du CPP soit d’estimer la position des membres par rapport à l’obstacle en mouvement.

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Parc marin du Saguenay - Saint-Laurent, Groupe de recherche et d'éducation sur les mammifères marins, GREMM, excursions aux baleines, bélugas, Tadoussac, règlementation, ArcCatalog, ArcMap.