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Paper

Real-Time Performance Comparison of Vision-Based Autonomous Landing of Quadcopter on a Ground Moving Target

by Independent / Community 0058dafc85d84410ec5111835cd9e5b47aff634f

Free2AITools Nexus Index

66.9

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 79

P: Popularity 54

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

The tremendous applications of unmanned aerial vehicles (UAVs), such as inspection in complex environments, search, and rescue missions, have established this area of research. The domain of UAVs autonomous navigation and landing has received considerable amount of interest of robotics researchers in the past decades. Nevertheless, the limited capability of UAVs for autonomous landing severely hampers the use of aerial vehicles specially in GPS-denied areas. Fortunately, with the rapid develo...

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Semantic Scholar 18 Citations

Paper Information Summary
Entity Passport
Registry ID	0058dafc85d84410ec5111835cd9e5b47aff634f
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0058dafc85d84410ec5111835cd9e5b47aff634f,
  author = {Unknown},
  title = {Real-Time Performance Comparison of Vision-Based Autonomous Landing of Quadcopter on a Ground Moving Target Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0058dafc85d84410ec5111835cd9e5b47aff634f}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Real-Time Performance Comparison of Vision-Based Autonomous Landing of Quadcopter on a Ground Moving Target [Paper]. Free2AITools. https://api.semanticscholar.org/0058dafc85d84410ec5111835cd9e5b47aff634f

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 79

Popularity (P) 54

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Real-Time Performance Comparison of Vision-Based Autonomous Landing of Quadcopter on a Ground Moving Target: Authority (A:79), Popularity (P:54), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"The tremendous applications of unmanned aerial vehicles (UAVs), such as inspection in complex environments, search, and rescue missions, have established this area of research. The domain of UAVs autonomous navigation and landing has received considerable amount of interest of robotics researchers in the past decades. Nevertheless, the limited capability of UAVs for autonomous landing severely hampers the use of aerial vehicles specially in GPS-denied areas. Fortunately, with the rapid develo..."

❝ Cite Node

@article{Unknown2026Real-Time,
  title={Real-Time Performance Comparison of Vision-Based Autonomous Landing of Quadcopter on a Ground Moving Target},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈18CitationsSemantic Scholar

🏛️79AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️vision multimediaField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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Technical metadata sourced from upstream repositories.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 18

Data indexed from public sources. Updated daily.