@inproceedings{fe8e264f9f5140fcb11d71e6b5cb79f6,
title = "A method about state-space representation and location estimation by computational geometry",
abstract = "This paper analyzes the accuracy concerns of self-positioning of some unmanned ground vehicle that is undertaking simultaneous localization and mapping. The environment information description provided by vehicle sensor usually has strong geometric feature. Thus, the paper puts forward a method with geometric feature for simultaneous localization and mapping environment description. After analyzing the uncertainties in this type of environment description, the paper uses computational geometry to model and describe the uncertainties caused by measuring error of the sensor. At last, by using computational geometry, the paper proposes a location estimation algorithm that helps to reduce the impact of measuring errors on calculation coordinates.",
keywords = "SLAM, UGV, computational geometry",
author = "Yi Zhang and Mengyin Fu and Meiling Wang",
year = "2014",
doi = "10.1109/CCDC.2014.6852990",
language = "English",
isbn = "9781479937066",
series = "26th Chinese Control and Decision Conference, CCDC 2014",
publisher = "IEEE Computer Society",
pages = "4579--4583",
booktitle = "26th Chinese Control and Decision Conference, CCDC 2014",
address = "United States",
note = "26th Chinese Control and Decision Conference, CCDC 2014 ; Conference date: 31-05-2014 Through 02-06-2014",
}