CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Rao-Blackwellised particle filter for tracking with application in visual surveillance
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Choosing answerers by observing gaze responses for museum guide robots
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
CHI '10 Extended Abstracts on Human Factors in Computing Systems
A wheelchair which can automatically move alongside a caregiver
Proceedings of the 6th international conference on Human-robot interaction
Robotic wheelchair moving with caregiver collaboratively depending on circumstances
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Robotic wheelchair moving with caregiver collaboratively
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
A path prediction method for human-accompanying mobile robot based on neural network
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Robotic wheelchair easy to move and communicate with companions
CHI '13 Extended Abstracts on Human Factors in Computing Systems
A Gestural Recognition Interface for Intelligent Wheelchair Users
International Journal of Sociotechnology and Knowledge Development
Multiple robotic wheelchair system able to move with a companion using map information
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Recently, several robotic/intelligent wheelchairs have been proposed that employ user-friendly interfaces or autonomous functions. Although it is often desirable for user to operate wheelchairs on their own, they are often accompanied by a caregiver or companion. In designing wheelchairs, it is important to reduce the caregiver load. In this paper we propose a robotic wheelchair that can move with a caregiver side by side. In contrast to a front-behind position, in a side-by-side position it is more difficult for wheelchairs to adjust when the caregiver makes a turn. To cope with this problem we present a visual-laser tracking technique. In this technique, a laser range sensor and an omni-directional camera are integrated to observe the caregiver. A Rao-Blackwellized particle filter framework is employed to track the caregiver's position and orientation of both body and head based on the distance data and panorama images captured from the laser range sensor and the omni-directional camera. After presenting this technique, we introduce an application of the wheelchair for museum visit use.