D.R.O.N.E : Dynamic Routing for Optimal Navigation and Evasion

D.R.O.N.E. represents more than merely a navigation system; it is an advanced algorithmic framework (in fact) designed to transform the way airborne vehicles engage with their surroundings. Consider it the quintessential flight assistant, endowed with real-time data processing capabilities that—arguably—compete with the most cutting-edge AI systems. However, this technology is not without its challenges. Although there are significant advancements being made, the complexities of integrating such systems into existing infrastructures remain a hurdle. Because of this, ongoing research and development are imperative to ensure its successful implementation.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-27
DOI
https://doi.org/10.55041/ijsrem40159
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

D.R.O.N.E : Dynamic Routing for Optimal Navigation and Evasion

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Robotic Path Planning Algorithms
article

D.R.O.N.E : Dynamic Routing for Optimal Navigation and Evasion

article en

Abstract

D.R.O.N.E. represents more than merely a navigation system; it is an advanced algorithmic framework (in fact) designed to transform the way airborne vehicles engage with their surroundings. Consider it the quintessential flight assistant, endowed with real-time data processing capabilities that—arguably—compete with the most cutting-edge AI systems. However, this technology is not without its challenges. Although there are significant advancements being made, the complexities of integrating such systems into existing infrastructures remain a hurdle. Because of this, ongoing research and development are imperative to ensure its successful implementation.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Department of Space (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Robotic Path Planning Algorithms
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