08-06-2012, 05:55 PM
OCR BASED AUTO NAVIGATION OF ROBOT BY READING THE SIGN BOARD
[attachment=654]
ABSTRACT
Navigation of robot using signboard. The signboard is placed in the environment as landmark to decide the robot's next path. The signboard is designed such that the robot can perform key functions: the signboard detection, identification. Autonomous navigation of mobile robots in wide area as well as cooperative operations requires many signboards with unique identification pattern. Our color signboard allows the robot to recognize the sign board when the signboard is visible entirely in the field of view. By using OCR.In OCR (Optical Character Recognition) we show how our text detection and recognition system, combined with several other ingredients, allows our robot to recognize named locations specified by a user.
INTRODUCTION
Autonomous navigation is an essential prerequisite for successful service robots. In contexts such as homes and offices, sign boards placed sideways of the road, places are often identified by text on signs Posted throughout the environment, by using the concept of the OCR, textual data can be extracted from the image (sign board) and navigate the robot. Landmarks such as signs make labeling particularly easy, as the appropriate label can be read directly from the landmark using Optical Character Recognition (OCR), without the need for human assistance.
EXISTING SYSTEM
Service robots need to have maps that support their tasks. Traditional robot mapping solutions are well-suited to supporting navigation and obstacle avoidance tasks by representing occupancy information. However, it can be difficult to enable higher-level understanding of the world’s structure using occupancy-based mapping solutions. One of the most important competencies for a service robot is to be able to accept commands from a human user. Many such commands will include instructions that reference objects, structures, or places, so our mapping system should be designed with this in mind.
PROPOSED SYSTEM
This system that allows a robot to discover path automatically by detecting and reading textual information in signs located (Sign board) by using OCR. In this we show that the text-extraction component developed is a valuable on mobile robots. In particular, our system allows the robot to identify named locations/Sign boards placed sideways of a road with high reliability, allowing it to satisfy requests from a user that refer to these places by name. Just remember that OCR (optical character recognition) is, as of now, an inexact science and you won't get flawless transcription in all cases.
PROBLEM STATEMENT
Navigation of Mobile Robots is a broad topic, covering a large spectrum of different technologies and applications. It draws on some very ancient techniques, as well as some of the most advanced space science and engineering. There have been many auto navigating robots that move between a known source and a destination / line follower robot etc. There is a necessity of a robot which can dynamically read the next instruction to be followed and understand the instruction and move accordingly.
We deal with an autonomously guided robot that knows at least some information about where it is and how to reach the different goals by reading the sign boards that act like way points between various destinations.
[attachment=654]
ABSTRACT
Navigation of robot using signboard. The signboard is placed in the environment as landmark to decide the robot's next path. The signboard is designed such that the robot can perform key functions: the signboard detection, identification. Autonomous navigation of mobile robots in wide area as well as cooperative operations requires many signboards with unique identification pattern. Our color signboard allows the robot to recognize the sign board when the signboard is visible entirely in the field of view. By using OCR.In OCR (Optical Character Recognition) we show how our text detection and recognition system, combined with several other ingredients, allows our robot to recognize named locations specified by a user.
INTRODUCTION
Autonomous navigation is an essential prerequisite for successful service robots. In contexts such as homes and offices, sign boards placed sideways of the road, places are often identified by text on signs Posted throughout the environment, by using the concept of the OCR, textual data can be extracted from the image (sign board) and navigate the robot. Landmarks such as signs make labeling particularly easy, as the appropriate label can be read directly from the landmark using Optical Character Recognition (OCR), without the need for human assistance.
EXISTING SYSTEM
Service robots need to have maps that support their tasks. Traditional robot mapping solutions are well-suited to supporting navigation and obstacle avoidance tasks by representing occupancy information. However, it can be difficult to enable higher-level understanding of the world’s structure using occupancy-based mapping solutions. One of the most important competencies for a service robot is to be able to accept commands from a human user. Many such commands will include instructions that reference objects, structures, or places, so our mapping system should be designed with this in mind.
PROPOSED SYSTEM
This system that allows a robot to discover path automatically by detecting and reading textual information in signs located (Sign board) by using OCR. In this we show that the text-extraction component developed is a valuable on mobile robots. In particular, our system allows the robot to identify named locations/Sign boards placed sideways of a road with high reliability, allowing it to satisfy requests from a user that refer to these places by name. Just remember that OCR (optical character recognition) is, as of now, an inexact science and you won't get flawless transcription in all cases.
PROBLEM STATEMENT
Navigation of Mobile Robots is a broad topic, covering a large spectrum of different technologies and applications. It draws on some very ancient techniques, as well as some of the most advanced space science and engineering. There have been many auto navigating robots that move between a known source and a destination / line follower robot etc. There is a necessity of a robot which can dynamically read the next instruction to be followed and understand the instruction and move accordingly.
We deal with an autonomously guided robot that knows at least some information about where it is and how to reach the different goals by reading the sign boards that act like way points between various destinations.