A robust regression model for simultaneous localization and mapping in autonomous mobile robot

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 53, Issue 2, 2008, Pages 183-202

  Zhang, Xinzheng ^a   Rad, Ahmad B ^b   Wong, Yiu Kwong ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Autonomous mobile robot; Robust regression; Segment based map; SLAM

Indexed keywords

CELLULAR RADIO SYSTEMS; COLLISION AVOIDANCE; CONFORMAL MAPPING; CONTROL THEORY; ELECTRIC LOAD SHEDDING; ERROR ANALYSIS; ESTIMATION; EXTENDED KALMAN FILTERS; FOOD PROCESSING; INTELLIGENT ROBOTS; MAPS; METHOD OF MOMENTS; MOBILE ROBOTS; NORMAL DISTRIBUTION; ROBOTICS; ROBOTS;

AUTONOMOUS MOBILE ROBOT; AUTONOMOUS MOBILE ROBOTS; DYNAMIC OBJECTS; EXTENDED KALMAN FILTER (EKF); EXTRACTION METHODS; HIGH BREAKDOWN POINT; HIGH-EFFICIENCY; REGULARITY CONDITIONS; ROBUST REGRESSION; ROBUST REGRESSIONS; SEGMENT-BASED MAP; SEGMENT-BASED MAPS; SENSOR DATA; SIMULTANEOUS LOCALIZATION AND MAP-BUILDING; SIMULTANEOUS LOCALIZATION AND MAPPING; SLAM; STATIC AND DYNAMIC ENVIRONMENTS; SYMMETRIC DISTRIBUTIONS;

REGRESSION ANALYSIS;

EID: 52049104927     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-008-9232-7     Document Type: Article

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