Multi-focal feature tracking for a human-assisted mobile robot

Tingting Xu, Yi Guo, Kolja Kühnlenz, Martin Buss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In the project Autonomous City Explorer, an interactive robot is designed to find its way to a given destination in unknown urban environments by interacting with pedestrians. Considering applications in a human dominated environment, the robot can be sent to a destination by tracking a landmark selected by users and described by 2D image features. To achieve a natural landmark selection from the user perspective and an accurate feature tracking for a safe robot navigation, the robot preselects visual features and presents the users only the image regions providing higher tracking accuracy. Furthermore, a multi-focal camera system is used to extend the sensing range. SIFT, Harris corner and optical flow used for tracking and self-localization are compared and applied to different visual sensors. A coordination strategy is realized, in which the camera with wide field of view is used for robot orientation control and the high-resolution camera is applied for robot forward motion control. The performance is experimentally evaluated.

Original languageEnglish
Title of host publicationRO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive
Pages861-866
Number of pages6
DOIs
StatePublished - 2009
Event18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009 - Toyama, Japan
Duration: 27 Sep 20092 Oct 2009

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009
Country/TerritoryJapan
CityToyama
Period27/09/092/10/09

Fingerprint

Dive into the research topics of 'Multi-focal feature tracking for a human-assisted mobile robot'. Together they form a unique fingerprint.

Cite this