Mobile Robot Localization Based on Vision and Multisensor
نویسندگان
چکیده
منابع مشابه
Mobile Robot Localization Using Range and Vision
In this paper we present the D version of the Symmetries and Perturbation model SPmodel a probabilistic representation model and an EKF integration mecha nism for uncertain geometric information that is suitable for sensor fusion and inte gration in multisensor systems We apply the SPmodel to the problem of location estimation in mobile robotics experimenting with the mobile robot MACROBE We ha...
متن کاملVision-based Mobile Robot Localization with Simple Artificial Landmarks
This article presents a vision-based method for mobile robot localization in partially known environments. Simple, unobtrusive artificial landmarks are used as external localization aids. The landmarks are labelled with unique code patterns, what enables unambiguous global localization. The analysis is presented which enables prediction of the uncertainty of the position and orientation of the ...
متن کاملA nonparametric learning approach to vision based mobile robot localization
A nonparametric learning algorithm is used to build a robust mapping between an image obtained from a mobile robot s on board camera and the robot s cur rent position The mapping uses unprocessed pixel values by pixel image Because the learning algorithm is nonparametric it uses the learn ing data obtained from these raw pixel values to au tomatically choose a structure for the mapping with out...
متن کاملMultisensor on-the-fly localization using laser and vision
In this paper a multisensor setup for localization consisting of a 360 degree laser range finder and a monocular vision system is presented. Its practicability under conditions of continuous localization during motion in real-time (referred to as on-the-fly localization) is investigated in largescale experiments. The features in use are infinite horizontal lines for the laser and vertical lines...
متن کاملMobile Robot Vision Navigation & Localization Using Gist and Saliency
We present a vision-based navigation and localization system using two biologically-inspired scene understanding models which are studied from human visual capabilities: (1) Gist model which captures the holistic characteristics and layout of an image and (2) Saliency model which emulates the visual attention of primates to identify conspicuous regions in the image. Here the localization system...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Robotics
سال: 2020
ISSN: 1687-9600,1687-9619
DOI: 10.1155/2020/8701619