Analysis Of Key Technologies in Autonomous Guided Vehicles (Agvs) Navigation Technology

In this paper, four basic sensors are briefly introduced, and the challenges faced by autonomous navigation vehicles (AGVs) such as environment awareness, path planning, positioning accuracy, and multi-vehicle coordination are discussed. The role of sensor technology in overcoming these challenges is analyzed. This paper examines the application and fusion of different sensors, as well as the use of artificial intelligence and deep learning technology to enhance the intelligence of AGVs. The conclusion has been drawn in this paper that it is crucial to strengthen the research and application of sensor technology, this helps to improve positioning accuracy and stability, strengthen the research of real-time communication technology, and enhance the safety and reliability of sensors. Finally, this paper emphasizes the importance of balancing cost and benefit while properly configuring sensor technology to meet user needs, which guides the continuous development of AGVs in industrial and commercial applications.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-08-19
DOI
https://doi.org/10.54097/ar0k1626
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis Of Key Technologies in Autonomous Guided Vehicles (Agvs) Navigation Technology

Zhiqin Chen
Highlights in Science Engineering and Technology
Automated Road and Building Extraction
article

Analysis Of Key Technologies in Autonomous Guided Vehicles (Agvs) Navigation Technology

Zhiqin Chen
article en

Abstract

In this paper, four basic sensors are briefly introduced, and the challenges faced by autonomous navigation vehicles (AGVs) such as environment awareness, path planning, positioning accuracy, and multi-vehicle coordination are discussed. The role of sensor technology in overcoming these challenges is analyzed. This paper examines the application and fusion of different sensors, as well as the use of artificial intelligence and deep learning technology to enhance the intelligence of AGVs. The conclusion has been drawn in this paper that it is crucial to strengthen the research and application of sensor technology, this helps to improve positioning accuracy and stability, strengthen the research of real-time communication technology, and enhance the safety and reliability of sensors. Finally, this paper emphasizes the importance of balancing cost and benefit while properly configuring sensor technology to meet user needs, which guides the continuous development of AGVs in industrial and commercial applications.

Highlights in Science Engineering and TechnologyVol. 111
Southwest Jiaotong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Automated Road and Building Extraction
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Analysis Of Key Technologies in Autonomous Guided Vehicles (Agvs) Navigation Technology — Zhiqin Chen · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS