Extending Bayesian RFS SLAM to multi-vehicle SLAM

• Main Authors: Moratuwage, Diluka, Vo, Ba-Ngu, Wang, Danwei, Wang, Han
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/96989; http://hdl.handle.net/10220/11718

In this paper we present a novel solution to the Multi-Vehicle SLAM (MVSLAM) problem by extending the random finite set (RFS) based SLAM filter framework using two recently developed multi-sensor information fusion approaches. Our solution is based on the modelling of the measurements and the landma...