Optimal Landmark Pattern for PreciseMobile Robots Dead-reckoning
نویسندگان
چکیده
The aim of this work is to determine the best landmark for its use in tasks such as precise positioning of AGVs or mobile robots in front of loading / unloading areas. The work developed aims at determining the precision that can be achieved with different pattern landmarks, of use in positioning systems, based on computer vision. Different computer vision algorithms have been tested from the images acquired from different camera configurations and bending angles with respect to the vertical axis. As a result of the evaluation of these errors, we extract the recommendation of the most favourable bicolour pattern to be used, as well as the bounding errors obtained from the segmentation and recognition methods most frequently used.
منابع مشابه
Cooperative Positioning with Multiple Robots
A number of positioning identification techniques have been used for mobile robots. Dead reckoning is a popular method, but is not reliable when a robot travels long distances or over an uneven surface because of variations in wheel diameter and wheel slippage. The landmark method, which estimates the current position relative to landmarks, cannot be used in an uncharted environment. We propose...
متن کاملPerformance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external environmental features or landmarks to localise itself. A key question is how to evaluate landmark recognition systems for mobile robots. This paper answers this question by means of quantitative performance measures....
متن کاملStudy on Cooperative Positioning System
Several position identification methods have been used for mobile robots. Dead reckoning is a popular method, but is not reliable for long distances or uneven surfaces because of variations in wheel diameter and slippage. The landmark method, which estimates current position relative to landmarks, cannot be used in an uncharted environment. We have proposed a new method called ”Cooperative Posi...
متن کاملA New Approach to Self-Localization for Mobile Robots Using Sensor Data Fusion
This paper proposes a new approach for calibration of dead reckoning process. Using the well-known UMBmark (University of Michigan Benchmark) is not sufficient for a desirable calibration of dead reckoning. Besides, existing calibration methods usually require explicit measurement of actual motion of the robot. Some recent methods use the smart encoder trailer or long range finder sensors such ...
متن کاملAAAI - 2000 1 Performance Comparison of Landmark RecognitionSystems for Navigating Mobile
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external environmental features or landmarks to localise itself. A key question is how to evaluate landmark recognition systems for mobile robots. This paper answers this question by means of quantitative performance measures....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001