Location Sensing and Tracking of Mobile Robots in the Plant Pipes with Particle Filters-Reference-Cited by-同舟云学术

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Location Sensing and Tracking of Mobile Robots in the Plant Pipes with Particle Filters

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
language:
Short-container-title:

Author:

Hao Miin-Jong¹,Hsu Wei-Che¹,Chang Stephen S. H.²

Affiliation:

1. National Kaohsiung University of Science and Technology,Department of Computer and Communication Engineering,Kaohsiung,Taiwan (ROC)

2. National Kaohsiung University of Science and Technology,Department of Microelectronics Engineering,Kaohsiung,Taiwan (ROC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10082768/10082763/10082806.pdf?arnumber=10082806

Reference8 articles.

1. Mobile robot localization based on particle filter;luo;Proceeding of the 11th World Congress on Intelligent Control and Automation,2014

2. Mobile robot localization using modified particle filter;wardhana;The 3rd International Conference on Control, Instrumentation, and Automation,2013

3. Particle Filter-based Localization of a Mobile Robot by Using a Single Lidar Sensor under SLAM in ROS Environment

4. Mobile Robot SLAM Algorithm Based on Improved Firefly Particle Filter

5. Distributed SLAM system using particle swarm optimized particle filter for mobile robot navigation

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