@inproceedings{177901d007f74debb6a603e4c2583d03,
title = "Toward recognition of object shape on a distributed wheeled array by using a sparse infrared sensor array",
abstract = "This paper presents an object shape estimation algorithm using a sparse IR sensor array which is installed in a wheeled array system. The system is in a modular shape and each module consists of three omni wheels and an IR sensor in a triangular configuration. A flat object with unknown shape is placed on top of the wheeled array and it is transported in a certain way that the sparse sensor array detects the shape of the object progressively. The algorithm uses an occupancy grid structure to represent and update the object shape information. IR sensor reading is modeled by Gaussian and the object shape is probabilistically updated based on the sensor reading and motion prediction. Initial results from experiments are presented, and future research topics are discussed.",
keywords = "Bayesian estimation, Object shape estimation, Omni wheel array",
author = "Park, \{Jeong Yeol\} and Hyungpil Moon",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 ; Conference date: 12-11-2014 Through 15-11-2014",
year = "2014",
doi = "10.1109/URAI.2014.7057507",
language = "English",
series = "2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "623--624",
booktitle = "2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014",
}