The Application of SLAM Technology in Indoor Navigation in Complex Indoor Environment

This paper describes the application of SLAM in complex indoor environment. Through the joint work of sensor, LiDAR and visual camera, the real-time self-positioning and map construction are realized at the same time. However, in the practical application, there are also many challenges, the layout of the environment, the brightness of the environment, the presence of noise, the presence of dynamic objects and other environmental factors will lead to different degrees of data errors in SLAM technology. The small errors generated by a long time of work will gradually accumulate into potentially dangerous huge errors, and this is one of the biggest challenges for the current SLAM technology. Not only has that, the high configuration conditions required by SLAM technology also become one of the reasons why people do not choose it. However, the advantages of SLAM technology far outweigh the disadvantages. And almost all of these problems have corresponding solutions, SLAM technology is still very reliable, very widely used, the future of a great prospect of a technology.

Authors

Institutions

Publication Details

Journal
Transactions on Computer Science and Intelligent Systems Research
Published
2024-08-12
DOI
https://doi.org/10.62051/8kx53757
Citations
1
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Application of SLAM Technology in Indoor Navigation in Complex Indoor Environment

Changju Yu
1 citations
Transactions on Computer Science and Intelligent Systems Research
Robotics and Sensor-Based Localization
1.30
article

The Application of SLAM Technology in Indoor Navigation in Complex Indoor Environment

Changju Yu
article en
1 citations

Abstract

This paper describes the application of SLAM in complex indoor environment. Through the joint work of sensor, LiDAR and visual camera, the real-time self-positioning and map construction are realized at the same time. However, in the practical application, there are also many challenges, the layout of the environment, the brightness of the environment, the presence of noise, the presence of dynamic objects and other environmental factors will lead to different degrees of data errors in SLAM technology. The small errors generated by a long time of work will gradually accumulate into potentially dangerous huge errors, and this is one of the biggest challenges for the current SLAM technology. Not only has that, the high configuration conditions required by SLAM technology also become one of the reasons why people do not choose it. However, the advantages of SLAM technology far outweigh the disadvantages. And almost all of these problems have corresponding solutions, SLAM technology is still very reliable, very widely used, the future of a great prospect of a technology.

Transactions on Computer Science and Intelligent Systems ResearchVol. 5
Wuhan College (CN), Wuhan City College
Openalex Percentile: Top 13%
Robotics and Sensor-Based Localization
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.