Recognition of road information using magnetic polarity for intelligent vehicles

Young-Min Kim; Tae-Gon Kim; Young-Cheol Lim; Kwang-Heon Kim; Seung-Hun Baek; Eui-Sun Kim

doi:10.1117/12.664656

2 May 2006 Recognition of road information using magnetic polarity for intelligent vehicles

Young-Min Kim, Tae-Gon Kim, Young-Cheol Lim, Kwang-Heon Kim, Seung-Hun Baek, Eui-Sun Kim

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60422E (2006) https://doi.org/10.1117/12.664656
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

Abstract

For an intelligent vehicle driving which uses magnetic markers and magnetic sensors, it can get every kind of road information while moving the vehicle if we use the code that is encoded with N, S pole direction of makers. If there make it an only aim to move the vehicle, it becomes easy to control the vehicle the more we put markers close. By the way, to recognize the direction of a marker pole it is much better that the markers have no interference each other. To get road information and move the vehicle autonomously, the method of arranging magnetic sensors and algorithm of recognizing the position of the vehicle with those sensors was proposed. The effectiveness of the methods was verified with computer simulation.

Citation Download Citation

Young-Min Kim, Tae-Gon Kim, Young-Cheol Lim, Kwang-Heon Kim, Seung-Hun Baek, and Eui-Sun Kim "Recognition of road information using magnetic polarity for intelligent vehicles", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60422E (2 May 2006); https://doi.org/10.1117/12.664656

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available