@inproceedings{ba5c62aa6e654ed8bd1009840707fa49,
title = "ROSLAM-A faster algorithm for simultaneous localization and mapping (SLAM)",
abstract = "Computationally efficient SLAM (CESLAM) has been proposed to solve simultaneous localization and mapping problem in real-time design. CESLAM first uses the landmark measurement with the maximum likelihood to update the particle states and then update their associated landmarks later. This improves the accuracy of localization and mapping by avoiding unnecessary comparisons. This paper describes a modified version of CESLAM called rapidly operations SLAM (ROSLAM) which improves the runtime even further. We present an empirical evaluation of ROSLAM in a simulated environment which shows that it speeds up previous well known algorithms by 100 \%.",
keywords = "CESLAM, Extended kalman filter, FastSLAM, Particle filter",
author = "Huang, \{Teng Wei\} and Hsu, \{Chen Chien\} and Wang, \{Wei Yen\} and Jacky Baltes",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017.; 4th International Conference on Robot Intelligence Technology and Applications, RiTA 2015 ; Conference date: 14-12-2015 Through 16-12-2015",
year = "2017",
doi = "10.1007/978-3-319-31293-4\_6",
language = "English",
isbn = "9783319312910",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "65--74",
editor = "Fakhri Karray and Jong-Hwan Kim and Hyun Myung and Jun Jo and Peter Sincak",
booktitle = "Robot Intelligence Technology and Applications 4 - Results from the 4th International Conference on Robot Intelligence Technology and Applications",
}