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In this paper, we propose an approach of following a visual path for humanoid navigation. The problem consists in computing appropriate robot velocities for the humanoid walking task from the visual data shared between the current robot view and a set of target images. Two types of visual controllers are evaluated: a position-based scheme and an image-based scheme. Both of them rely on the estimation...
ALV(average landmark vector) algorithm occupies an important position in the field of visual homing, it has many outstanding advantages such as simple model and less storage space, etc. ALV algorithm uses all the feature points within the whole image region as landmarks, which makes the calculation amount larger and at the same time is unable to ensure the correspondence of each landmark. Because...
This paper demonstrates several improvements on implementing a fast monocular visual slam system (MonoSLAM) to navigate indoor aerial vehicle. These improvements include designing for the framework of the navigation system, redesigning of landmark patch matching method and giving new rules updating the image patch to overcome some particularly bad situation when landmarks are insufficient. We demonstrate...
This paper proposes a vision-based target following and landing system for a quadrotor vehicle on a moving platform. The system is consisted with vision-based landing site detection and locating algorithm using an omnidirectional lens. Latest smartphone was attached on the UAV and served as an on-board image acquisition and process unit. Measurements from the omnidirectional camera are combined with...
This paper investigates stabilizing receding horizon control via an obstacle avoidance navigation function for three-dimensional (3-D) eye-to-hand visual feedback systems. Firstly, a visual motion observer for a controlled mobile robot is presented. Then, visual motion observer-based stabilizing receding horizon control for 3-D visual feedback systems, highly nonlinear and relatively fast systems,...
Inertial-SLAM has been actively studied as it can provide all-terrain navigational capability with full six degrees-of-freedom information to autonomous robots. With the recent availability of low-cost inertial and vision sensors, a light-weight and accurate mapping system could be achieved for many robotic tasks such as land/aerial explorations. The key challenge toward this is in the availability...
Existing approaches to visual Simultaneous Localization and Mapping (SLAM) typically utilize points as visual feature primitives to represent landmarks in the environment. Since these techniques mostly use image points from a standard feature point detector, they do not explicitly map objects or regions of interest. Our work is motivated by the need for different SLAM techniques in path and riverine...
The remote designation of targets in 3D complex environments, such as molecular structure, is a critical function since it is involved in numerous collaborative tasks. In fact, constrains such as depth perception and visual overload make the communication between partners very difficult and limit the understanding of the partners actions. This paper proposes a solution for the remote designation of...
This paper investigates the problem of robot visual homing — the navigation to a goal location by a mobile robot using visual sensory input. The visual homing approach taken is to consider the flow vectors between a robot's current view and a desired milestone view. The flow vectors can be used to determine an angular velocity command that attempts to align the two views under a constant forward speed...
Learning and then recognizing a route, whether travelled during the day or at night, in clear or inclement weather, and in summer or winter is a challenging task for state of the art algorithms in computer vision and robotics. In this paper, we present a new approach to visual navigation under changing conditions dubbed SeqSLAM. Instead of calculating the single location most likely given a current...
Homing navigation is an important survival skill in animals. They have fast and accurate homing capability. In this paper, we propose a new technique that encodes landmark vectors using gray values of pixels. It has been improved by using a sorting method which removes unnecessary part in the image. Based on the snapshot model, the reference map is created by using the landmark vector set of a snapshot...
This paper studies about the research on ways to extend and improve query methods for image databases is widespread. we have developed the QBIC (Query by Image Content) system to explore content-based retrieval methods. To achieve the high efficiency and effectiveness of CBIR we are using two type of methods for feature extraction like SVM(support vector machine)and NPRF(navigation-pattern based relevance...
A new vision-based obstacle avoidance technique for indoor navigation of Micro Aerial Vehicles (MAVs) is presented in this paper. The vehicle trajectory is modified according to the obstacles detected through the Depth Map of the surrounding environment, which is computed online using the Optical Flow provided by a single onboard omnidirectional camera. An existing closed-form solution for the absolute-scale...
A self modeling airship with a parametric autonomous controller is introduced in this paper. Modeling of airships for autonomous control is a detailed and often time-taking process if some of the parameters are unknown. Although it is possible to make reasonable assumptions in some restricted case, a model generally consists of parameters such as, weight, coordinates of the center of gravity, moments...
We review some recent techniques for 3D tracking and occlusion handling for computer vision-based augmented reality. We discuss what their limits for real applications are, and why object recognition techniques are certainly the key to further improvements.
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