Analysis of the Applications of Algorithm and Automatic Pathfinding

Abstract. The current development of autonomous driving technology is very hot, which involves two fundamental aspects: one is the operating system as the foundation, and the other is the algorithm application. The theme of this review is to study the related algorithmic technologies and combine them with one of the key functions of autonomous driving: autonomous routing. The review discusses the application direction and environment of this function, and involves the use of algorithms in the backend. Autonomous routing is a key concept in multiple technical fields and plays an important role in helping entities effectively navigate complex environments. This review centers on the concept of autonomous routing and focuses on its application direction, usage environment, and supporting algorithms. The core research question is autonomous routing and its working principle. The review analyzes the main application scenarios of autonomous routing, such as autonomous driving and game development, and explores the algorithms commonly used in these scenarios. By conducting a comprehensive analysis of the main usage environments and algorithm structures, the review provides insights into the current state of autonomous routing technology. The research findings show that autonomous routing technology has been deeply embedded in multiple industries and is continuously expanding as the demand for technology grows. Furthermore, the review explores the potential future development of autonomous routing, anticipating that it will further develop in responding to various new challenges and opportunities.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-26
DOI
https://doi.org/10.54254/2755-2721/109/20241456
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Analysis of the Applications of Algorithm and Automatic Pathfinding

Weikun He
Applied and Computational Engineering
Robotic Path Planning Algorithms
article

Analysis of the Applications of Algorithm and Automatic Pathfinding

Weikun He
article en

Abstract

Abstract. The current development of autonomous driving technology is very hot, which involves two fundamental aspects: one is the operating system as the foundation, and the other is the algorithm application. The theme of this review is to study the related algorithmic technologies and combine them with one of the key functions of autonomous driving: autonomous routing. The review discusses the application direction and environment of this function, and involves the use of algorithms in the backend. Autonomous routing is a key concept in multiple technical fields and plays an important role in helping entities effectively navigate complex environments. This review centers on the concept of autonomous routing and focuses on its application direction, usage environment, and supporting algorithms. The core research question is autonomous routing and its working principle. The review analyzes the main application scenarios of autonomous routing, such as autonomous driving and game development, and explores the algorithms commonly used in these scenarios. By conducting a comprehensive analysis of the main usage environments and algorithm structures, the review provides insights into the current state of autonomous routing technology. The research findings show that autonomous routing technology has been deeply embedded in multiple industries and is continuously expanding as the demand for technology grows. Furthermore, the review explores the potential future development of autonomous routing, anticipating that it will further develop in responding to various new challenges and opportunities.

Applied and Computational EngineeringVol. 109(1)
University of Alberta (CA)
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Robotic Path Planning Algorithms
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