Title :
Map integration of human trajectory with sitting/standing position using LRF and Kinect sensor
Author :
Nihei, Yuma ; Samejima, Ippei ; Hatao, Naotaka ; Takemura, Hiroshi ; Kagami, Satoshi
Author_Institution :
Digital Human Res. Center, Nat. Inst. of Adv. Ind. Sci. & Technol., Tokyo, Japan
Abstract :
This paper presents a service oriented map that includes a) environment shape, b) human walking trajectory, and c) human sitting/standing position. Such information is important for a robot that provides services to human beings. Environmental shape (a) and human walking trajectory (b) are obtained by LRF. Human sitting/standing position (c) is obtained from Microsoft Kinect sensor by actively positioning and orienting the sensor to confirm human posture. A combined algorithm to obtain an integrated map is described, and experimental results follow.
Keywords :
mobile robots; sensors; service robots; trajectory control; LRF; Microsoft Kinect sensor; environment shape; human posture; human sitting/standing position; human trajectory; human walking trajectory; map integration; service oriented map; service robot;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
DOI :
10.1109/ROBIO.2012.6491141