@inproceedings{dd12138f69cb4317b1804a030eecb40f,
title = "Detecting the Distribution of a Robotic Swarm in Uncertain Conditions",
abstract = "Localization problem of a swarm is required for most tasks related to swarms. In many cases real world sensors possess inherent measurement error. Nevertheless, having a large set of inter-measurements may compensate for this. The paper implements Extended Kalman Filter to estimate the swarm's distribution. Indeed, a set of simulated experiments demonstrate the algorithm robustness and simplicity. Finally, we show that the resulting error estimation is reliable.",
keywords = "probability-density-function, robotic-swarm, swarm-distribution",
author = "Eliashiv Cohen and Yakov Idelson and Oded Median and Nir Shvalb and Shlomi Hacohen",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th IEEE International Conference on Control, Mechatronics and Automation, ICCMA 2019 ; Conference date: 06-11-2019 Through 08-11-2019",
year = "2019",
month = nov,
day = "1",
doi = "10.1109/ICCMA46720.2019.8988677",
language = "English",
series = "2019 IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA 2019",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "104--107",
booktitle = "2019 IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA 2019",
address = "United States",
}