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In this paper, an overview of stereo vision, stereo image processing is introduced as well as a method of obstacle avoidance and navigation based on stereo vision for mobile robot is provided. Making use of 3-d stereo reconstruction, the recognition of visible terrain in front of the mobile robot is solved for successive obstacle avoidance. The area-based stereo reconstruction algorithm which combines...
This paper provides an intuitive way to inference the space of a scene using stereo cameras. We first segmented the ground out of the image by adaptively learning the ground model in the image. We then used the convex hull to approximate the scene space. Objects within the scene can also be detected with the stereo cameras. Finally, we organized the scene space and the objects within the scene into...
This paper is concerned with the visual servoing of a mobile robot in dynamic environments. We assume a target with maneuvering capabilities, and thus it can be hidden from the camera by the obstacles in the scene. These two problems must be taken into account in the control law to ensure correct servoing. The control law must consider the target movement to reduce tracking error as small as possible...
Response to the demand of autonomous obstacle avoidance for mobile robot during operation, a obstacle avoidance system based on binocular stereo vision for mobile robot is developed. The system was developed with Matlab and stereo vision software “the Point Grey's Triclops SDK library”. With the techniques of camera calibration, stereo image matching, three-dimensional reconstruction, the three-dimensional...
This paper presents a modular software architecture based on a stereo camera system that makes real-time 3D perception, interaction and navigation for small humanoid robots possible. The hardware-independent architecture can be used for several purposes, like 3D visualisation, object recognition, self-localization, collision avoidance, etc. First of all, the intrinsic calibration parameters of the...
This paper deals with the problem of object reconstruction for visual search by a humanoid robot. Three problems necessary to achieve the behavior autonomously are considered: full-body motion generation according to a camera pose, general object representation for visual recognition and pose estimation, and far-away visual detection of an object. First we deal with the problem of generating full...
We investigate the problem of measuring the shape of a continuum robot using visual information from a fixed camera. Specifically, we capture the motion of a set of fictitious planes, each formed by four feature points, defined at various strategic locations along the body of the robot. Then, utilizing expressions for the robot forward kinematics as well as the decomposition of a homography relating...
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