996 resultados para Visual Navigation


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Navigation by means of cognitive maps appears to require the hippocampus; hippocampal place cells (PCs) appear to store spatial memories because their discharge is confined to cell-specific places called firing fields (FFs). Experiments with rats manipulated idiothetic and landmark-related information to understand the relationship between PC activity and spatial rotation. Rotating a circular arena in the caused a discrepancy between these cuse. This discrepancy caused most FFs to disappear in both the arena and room reference frames. However, FFs persisted in the rotating arena frame when the discrepancy was reduced by darkness or by a card in the arena. The discrepancy was increased by "field clamping" the rat in a room-defined FF location by rotations that countered its locomotion. Most FFs disspared and reappeared an hour or more after the clamp. Place-avoidance experiments showed that navigation uses independent idiothetic and exteroceptive memories. Rats learned to avoid the unmarked footshock region within a circular arena. When acquired on the stable arena in the light, the location of the punishment was learned by using both room and idiothetic cues; extinction in the dark transferred to the following session in the light. If, however, extinction occured during rotation, only the arena-frame avoidance was extinguished in darkness; the room-defined location was avoided when the light were turned back on. Idiothetic memory of room-defined avoidance was not formed during rotation in light; regardless of rotation with a randomly dispersed pellet. The resulting behaviour alternated between random pellet searching and target-directed navigation, making it possible to examine PC correlates of these two classes of spatial behaviour. The independence of idiothetic and exteroceptive spatial memories and the disruption of PC firing during rotation suggest that PCs may not be necessary for spatial cognition; this idea can be tested by recording during place-avoidance and preference tasks.

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OBJECTIVES: To test whether the Global Positioning System (GPS) could be potentially useful to assess the velocity of walking and running in humans. SUBJECT: A young man was equipped with a GPS receptor while walking running and cycling at various velocity on an athletic track. The speed of displacement assessed by GPS, was compared to that directly measured by chronometry (76 tests). RESULTS: In walking and running conditions (from 2-20 km/h) as well as cycling conditions (from 20-40 km/h), there was a significant relationship between the speed assessed by GPS and that actually measured (r = 0.99, P < 0.0001) with little bias in the prediction of velocity. The overall error of prediction (s.d. of difference) averaged +/-0.8 km/h. CONCLUSION: The GPS technique appears very promising for speed assessment although the relative accuracy at walking speed is still insufficient for research purposes. It may be improved by using differential GPS measurement.

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When unmanned underwater vehicles (UUVs) perform missions near the ocean floor, optical sensors can be used to improve local navigation. Video mosaics allow to efficiently process the images acquired by the vehicle, and also to obtain position estimates. We discuss in this paper the role of lens distortions in this context, proving that degenerate mosaics have their origin not only in the selected motion model or in registration errors, but also in the cumulative effect of radial distortion residuals. Additionally, we present results on the accuracy of different feature-based approaches for self-correction of lens distortions that may guide the choice of appropriate techniques for correcting distortions

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When underwater vehicles navigate close to the ocean floor, computer vision techniques can be applied to obtain motion estimates. A complete system to create visual mosaics of the seabed is described in this paper. Unfortunately, the accuracy of the constructed mosaic is difficult to evaluate. The use of a laboratory setup to obtain an accurate error measurement is proposed. The system consists on a robot arm carrying a downward looking camera. A pattern formed by a white background and a matrix of black dots uniformly distributed along the surveyed scene is used to find the exact image registration parameters. When the robot executes a trajectory (simulating the motion of a submersible), an image sequence is acquired by the camera. The estimated motion computed from the encoders of the robot is refined by detecting, to subpixel accuracy, the black dots of the image sequence, and computing the 2D projective transform which relates two consecutive images. The pattern is then substituted by a poster of the sea floor and the trajectory is executed again, acquiring the image sequence used to test the accuracy of the mosaicking system

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Hypermedia systems based on the Web for open distance education are becoming increasinglypopular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigationaladaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

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This work provides a general description of the multi sensor data fusion concept, along with a new classification of currently used sensor fusion techniques for unmanned underwater vehicles (UUV). Unlike previous proposals that focus the classification on the sensors involved in the fusion, we propose a synthetic approach that is focused on the techniques involved in the fusion and their applications in UUV navigation. We believe that our approach is better oriented towards the development of sensor fusion systems, since a sensor fusion architecture should be first of all focused on its goals and then on the fused sensors

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This article presents recent WMR (wheeled mobile robot) navigation experiences using local perception knowledge provided by monocular and odometer systems. A local narrow perception horizon is used to plan safety trajectories towards the objective. Therefore, monocular data are proposed as a way to obtain real time local information by building two dimensional occupancy grids through a time integration of the frames. The path planning is accomplished by using attraction potential fields, while the trajectory tracking is performed by using model predictive control techniques. The results are faced to indoor situations by using the lab available platform consisting in a differential driven mobile robot

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Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of nontextured objets or objets for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

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Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of non-textured objects or objects for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

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This paper focuses on the problem of realizing a plane-to-plane virtual link between a camera attached to the end-effector of a robot and a planar object. In order to do the system independent to the object surface appearance, a structured light emitter is linked to the camera so that 4 laser pointers are projected onto the object. In a previous paper we showed that such a system has good performance and nice characteristics like partial decoupling near the desired state and robustness against misalignment of the emitter and the camera (J. Pages et al., 2004). However, no analytical results concerning the global asymptotic stability of the system were obtained due to the high complexity of the visual features utilized. In this work we present a better set of visual features which improves the properties of the features in (J. Pages et al., 2004) and for which it is possible to prove the global asymptotic stability

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In this paper we face the problem of positioning a camera attached to the end-effector of a robotic manipulator so that it gets parallel to a planar object. Such problem has been treated for a long time in visual servoing. Our approach is based on linking to the camera several laser pointers so that its configuration is aimed to produce a suitable set of visual features. The aim of using structured light is not only for easing the image processing and to allow low-textured objects to be treated, but also for producing a control scheme with nice properties like decoupling, stability, well conditioning and good camera trajectory

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The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

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RESUME Ce travail se propose de discuter des résultats comportementaux observés chez des rats obtenus dans trois paradigmes expérimentaux différents : le bassin de Morris (Morris Water Maze, Morris, 1984) ; la table à trous (Homing Board, Schenk, 1989) et le labyrinthe radial (Radial Arm Maze, Olton et Samuelson, 1976). Les deux premières tâches sont spatiales et permettent un apprentissage de place en environnements contrôlés, et la troisième est une tâche comportementale qui différencie deux habiletés particulières, celle d'élimination (basée sur la mémoire de travail) et celle de sélection (basée sur la mémoire de référence). La discussion des résultats porte sur les stratégies de navigation utilisées par les animaux pour résoudre les tâches et plus précisément sur les facteurs qui peuvent influencer le choix de ces stratégies. Le facteur environnemental (environnement contrôlé) et le facteur cognitif (vieillissement) représentent les variables étudiées ici. C'est ainsi que certaines hypothèses communément acceptées ont été malmenées par nos résultats. Or si l'espace est habituellement supposé homogène (toutes les positions spatiales présentent le même degré de difficulté lors d'un apprentissage en champ ouvert), ce travail établit qu'une position associée -sans contiguïté - à l'un des trois indices visuels situés dans la périphérie de l'environnement est plus difficile à apprendre qu'une position située entre deux des trois indices. Deuxièmement, alors qu'il est admis que l'apprentissage d'une place dans un environnement riche requiert le même type d'information. dans la bassin de Morris (tâche nagée) que sur la table à trous (tâche marchée), nous avons montré que la discrimination spatiale en bassin ne peut être assurée par les trois indices visuels périphériques et nécessite la présence d'au moins un élément supplémentaire. Enfin, l'étude du vieillissement a souvent montré que l'âge réduit les capacités cognitives nécessaires à la navigation spatiale, conduisant à un déficit général des performances d'un animal sénescent, alors que dans notre travail, nous avons trouvé les animaux âgés plus performants et plus efficaces que les adultes dans une tâche particulière de collecte de nourriture. Ces expériences s'inscrivent dans une étude générale qui met à l'épreuve le modèle théorique proposé pax Schenk et Jacobs (2003), selon lequel l'encodage de la carte cognitive (Tolman, 1948 ; O'Keefe et Nadel, 1978) se ferait dans l'hippocampe par l'activité de deux modules complémentaires :d'une part le CA3 - Gyrus Denté pour le traitement d'une trame spatiale basée sur des éléments directionnels et Jou distribués en gradient (bearing map) et d'autre part le CAl - Subiculum pour le traitement des représentations locales basées sur les positions relatives des éléments fixes de l'environnement (sketch map). SUMMARY This work proposes to talk about behavioural results observed in three different experimental paradigms with rats: the Morris Water Maze (Morris, 1984); the Homing Board (Schenk, 1989) and the Radial Arm Maze (Olton and Samuelson, 1976). The two first tasks are spatial ones and allow place learning in controlled environments. The third one is a behavioural task which contrasts two particular skills, the elimination (based on working memory) and the selection one (based on reference memory). The topic of the discussion will be the navigation strategies used by animals to solve the different tasks, and more precisely the factors which can bias this strategies' choice. The environmental (controlled) and the cognitive (aging) factors are the variables studied here. Thus, some hypotheses usually accepted were manhandled by our results. Indeed, if space is habitually homogenously considered (all spatial positions present the same degree of difficulty in an open field learning), this work establishes that an associated position -without being adjacent - to one of the three visual cues localised in the environmental periphery is more difficult to learn than a configurationnel position (situated between two of the three cues). Secondly, if it is received that place learning in a rich environment requires the same information in the Morris water maze (swimming task) that on the Homing board (walking task), we showed that spatial discrimination in the water maze can't be provided by the three peripheral cue cards and needs the presence of a supplementary cue. At last, aging studies often showed that oldness decreases cognitive skills in spatial navigation, leading to a general deficit in performances. But, in our work, we found that senescent rats were more efficient than adult ones in a special food collecting task. These experiments come within the scope of a general study which tests the theoretical model proposed by Jacobs and Schenk (2003), according to which the cognitive map's encoding (Tolman, 1948, O'Keefe and Nadel, 1978) should take place in the hippocampus by two complementary modules, first the DG-CA3 should encode directional and/or gradients references (the bearing map), and secondly the Subiculum-CAl should process locale elements (the sketch map).

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Purpose:To functionally and morphologically characterize the retina and optic nerve after transplantation of Brain-derived neurotrophic factor (BDNF) and Glial-derived neurotrophic factor (GDNF) secreting mesenchymal stem cells (MSCs) into glaucomatous rat eyes. Methods:Chronic ocular hypertension (COH) was induced in Brown Norway rats. Lentiviral constructs were used to transduce rat MSCs to produce BDNF, GDNF, or green fluorescent protein (GFP). The fellow eyes served as internal controls. Two days following COH induction, eyes received intravitreal injections of transduced MSCs. Electroretinography was performed to assess retinal function. Tonometry was performed throughout the experiment to monitor IOP. 42 days after MSC transplantation, rats were euthanized and the eyes and optic nerves were prepared for analysis. Results:Increased expression and secretion of BDNF and GDNF from lentiviral-transduced MSCs was verified using ELISA, and a bioactivity assay. Ratio metric analysis (COH eye/ Internal control eye response) of the Max combined response A-Wave showed animals with BDNF-MSCs (23.35 ± 5.15%, p=0.021) and GDNF-MSCs (28.73 ± 3.61%, p=0.025) preserved significantly more visual function than GFP-MSC treated eyes MSCs (18.05 ± 5.51%). Animals receiving BDNF-MSCs also had significantly better B-wave (33.80 ± 7.19%) and flicker ERG responses (28.52 ± 10.43%) than GFP-MSC treated animals (14.06 ± 12.67%; 3.52 ± 0.07%, respectively). Animals receiving GDNF-MSC transplants tended to have better function than animals with GFP-MSC transplants, but were not statistically significant (p=0.057 and p=0.0639). Conclusions:Mesenchymal stem cells are an excellent source of cells for autologous transplantation for the treatment of neurodegenerative diseases. We have demonstrated that lentiviral- transduced MSCs can survive following transplantation and preserve visual function in glaucomatous eyes. These results suggest that MSCs may be an ideal cellular vehicle for delivery of specific neurotrophic factors to the retina.

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PURPOSE: Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based self-navigation technique is proposed that uses "sub-images" and compressed sensing (CS) to obtain translational motion correction in 2D. The method was preliminarily implemented as a 2D technique and tested for feasibility for targeted coronary imaging. METHODS: During a 2D segmented radial k-space data acquisition, heavily undersampled sub-images were reconstructed from the readouts collected during each cardiac cycle. These sub-images may then be used for respiratory self-navigation. Alternatively, a CS reconstruction may be used to create these sub-images, so as to partially compensate for the heavy undersampling. Both approaches were quantitatively assessed using simulations and in vivo studies, and the resulting self-navigation strategies were then compared to conventional navigator gating. RESULTS: Sub-images reconstructed using CS showed a lower artifact level than sub-images reconstructed without CS. As a result, the final image quality was significantly better when using CS-assisted self-navigation as opposed to the non-CS approach. Moreover, while both self-navigation techniques led to a 69% scan time reduction (as compared to navigator gating), there was no significant difference in image quality between the CS-assisted self-navigation technique and conventional navigator gating, despite the significant decrease in scan time. CONCLUSIONS: CS-assisted self-navigation using 2D translational motion correction demonstrated feasibility of producing coronary MRA data with image quality comparable to that obtained with conventional navigator gating, and does so without the use of additional acquisitions or motion modeling, while still allowing for 100% scan efficiency and an improved ease-of-use. In conclusion, compressed sensing may become a critical adjunct for 2D translational motion correction in free-breathing cardiac imaging with high spatial resolution. An expansion to modern 3D approaches is now warranted.