Title :
Research on Trace Tracking and Identification Technology Based on Magnetic Induction Intensity
Author :
Xu, K.B. ; Wang, J.C. ; Zhu, P. ; Meng, L.H. ; Xing, J.
Author_Institution :
Dept. of Autom. Meas. & Control, Shandong Univ. of Sci. & Technol., Qingdao
Abstract :
In application fields of self-direction of vehicle, unmanned drive, trace robot and trace finder, tracking and identification of trace signal have key effects on tracking reliability and accuracy. Trace characterized with magnetic induction intensity is actually electromagnetic field signal produced around conductor when current flows inside conductor, and magnetic intensity has direct relationship with distance from conductor. Trace detecting device on vehicle can detect magnetic induction intensity and its change trend, and then degree and speed of deviation from trace can be calculated by linear regression algorithm, thus, trace tracking and identification can be achieved. Trace characterized with magnetic information can adapt to many complex working environments, and intensity control of trace signal and fault diagnosis can be easily realized
Keywords :
electromagnetic fields; electromagnetic induction; fault diagnosis; regression analysis; tracking; vehicles; conductor; electromagnetic field signal; fault diagnosis; identification technology; intensity control; linear regression algorithm; magnetic induction intensity detection; trace finder; trace robot; trace tracking; tracking reliability; unmanned drive; vehicle self-direction; Change detection algorithms; Conductors; Electromagnetic fields; Fault diagnosis; Linear regression; Magnetic devices; Robots; Signal processing; Vehicle detection; Vehicle driving;
Conference_Titel :
ITS Telecommunications Proceedings, 2006 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-9587-5
Electronic_ISBN :
0-7803-9587-5
DOI :
10.1109/ITST.2006.288879