An Invitation to 3-D Vision: From Images to Geometric Models
An Invitation to 3-D Vision: From Images to Geometric Models
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Robot Homing by Exploiting Panoramic Vision
Autonomous Robots
Monocular Vision for Mobile Robot Localization and Autonomous Navigation
International Journal of Computer Vision
A mapping and localization framework for scalable appearance-based navigation
Computer Vision and Image Understanding
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In this paper, we present a controller for visual navigation, which utilizes a time-independent varying reference in the feedback law. The navigation framework relies on a monocular camera, and the path is represented as a series of key images. The varying reference is determined using a vector field, derived from the previous and next key images. Results in a simulated environment, as well as on a real robot, show the advantages of the varying reference, with respect to a fixed one, in the image, as well as in the 3D state space.