Research on adaptive artificial potential field obstacle avoidance technology for unmanned aerial vehicles in complex environments

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Wireless and Mobile Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijwmc.2025.10072641
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
Controls
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article

Research on adaptive artificial potential field obstacle avoidance technology for unmanned aerial vehicles in complex environments

Hui Li, Xu Duan
1 citations
International Journal of Wireless and Mobile Computing
Robotic Path Planning Algorithms
1.28
article

Research on adaptive artificial potential field obstacle avoidance technology for unmanned aerial vehicles in complex environments

Hui Li, Xu Duan
article en
1 citations

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Wireless and Mobile ComputingVol. 29(1)
Openalex Percentile: Top 18%
Robotic Path Planning Algorithms
1.28
DOIOpen Access PDFOpenAlex
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Research on adaptive artificial potential field obstacle avoidance technology for unmanned aerial vehicles in complex environments — Hui Li, Xu Duan · International Journal of Wireless and Mobile Computing (2025) | TGRS Research Map | TGRS