Extending Bayesian RFS SLAM to multi-vehicle SLAM
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...
Saved in:
Main Authors: | Moratuwage, Diluka, Vo, Ba-Ngu, Wang, Danwei, Wang, Han |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/96989 http://hdl.handle.net/10220/11718 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A hierarchical approach to the multi-vehicle slam problem
by: Diluka, Moratuwage, et al.
Published: (2014) -
Rao-Blackwellised PHD SLAM
by: Mullane, John, et al.
Published: (2011) -
Visual and lidar-based SLAM by variational bayesian methods
by: Jiang, Xiaoyue
Published: (2020) -
Integration of UWB and SLAM for application in UAV
by: Wang, Hao
Published: (2017) -
Robust visual SLAM for autonomous vehicles in challenging environments
by: Ji, Tete
Published: (2022)