Open Access
Appearance based processes for visual navigation
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TLDR
The use of appearance based vision for defining visual processes for navigation by associating the appearance of a scene from a given viewpoint with the simple trajectories is described.Citations
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Journal ArticleDOI
Vision for mobile robot navigation: a survey
TL;DR: The developments of the last 20 years in the area of vision for mobile robot navigation are surveyed and the cases of navigation using optical flows, using methods from the appearance-based paradigm, and by recognition of specific objects in the environment are discussed.
Journal ArticleDOI
Visual Navigation for Mobile Robots: A Survey
TL;DR: The outline to mapless navigation includes reactive techniques based on qualitative characteristics extraction, appearance-based localization, optical flow, features tracking, plane ground detection/tracking, etc... the recent concept of visual sonar has also been revised.
Journal ArticleDOI
Vision-based navigation and environmental representations with an omnidirectional camera
TL;DR: A method for the visual-based navigation of a mobile robot in indoor environments, using a single omnidirectional (catadioptric) camera is proposed, which significantly simplifies the solution to navigation problems, by eliminating any perspective effects.
Proceedings ArticleDOI
Topological mapping, localization and navigation using image collections
TL;DR: This paper presents a highly scalable vision-based localization and mapping method using image collections and shows the good performance of the image matching for global localization and demonstrates path planning and navigation.
Proceedings ArticleDOI
Omni-directional vision for robot navigation
TL;DR: Omni-directional images provide the means of having adequate representations to support both accurate or qualitative navigation, since landmarks remain visible in all images, as opposed to a small field-of-view standard camera.
References
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Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Book ChapterDOI
Object Recognition Using Multidimensional Receptive Field Histograms
Bernt Schiele,James L. Crowley +1 more
TL;DR: The mathematical foundations of the technique are described and the results of experiments which compare robustness and recognition rates for different local neighborhood operators and histogram similarity measurements are presented.
Proceedings ArticleDOI
Visual navigation using view-sequenced route representation
TL;DR: A new visual representation of the route, the "view-sequenced route representation (VSRR)," which contains a sequence of front view images along a route memorized in the recording run, and an easy procedure for acquiring and a quick control procedure using VSRRs.
Proceedings ArticleDOI
Robot vision system with a correlation chip for real-time tracking, optical flow and depth map generation
TL;DR: A high-performance robot vision system that performs real-time tracking of moving objects, real- time optical flow computation, and high-speed depth map generation is described.