Solving computational and memory requirements of feature-based simultaneous localization and mapping algorithms-Reference-Cited by-同舟云学术

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Solving computational and memory requirements of feature-based simultaneous localization and mapping algorithms

Published:2003-08 Issue:4 Volume:19 Page:749-755
ISSN:1042-296X
Container-title:IEEE Transactions on Robotics and Automation
language:en
Short-container-title:IEEE Trans. Robot. Automat.

Author:

Guivant J.E.,Nebot E.M.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx5/70/27428/01220725.pdf?arnumber=1220725

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compressed Gaussian Estimation under Low Precision Numerical Representation;Sensors;2023-07-14

2. Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis;Remote Sensing;2023-02-20

3. Improving Covariance Matrix Diagonalization in SLAM of Mobile Robot;Lecture Notes in Electrical Engineering;2021-09-25

4. Developments in Mobile Robot Localization Research;Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment;2019-08-13

5. Switching and information exchange in compressed estimation of coupled high dimensional processes;Automatica;2019-01

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