Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 10, 2025

Automated Uav Control System Based on Artificial Intelligence Elements

View Full Paper
Ask AI
Bookmark
Share

Authors

MGMykyta GulenkoOSOleg Shchesiuk

Discussion

Loading...

Member takes

Overview

This system demonstrates improved target detection and obstacle avoidance in UAVs, suggesting enhanced operational efficiency.

Key Points

  • The system enhances UAV efficiency through the use of machine learning and neural networks for real-time tasks.
  • Key performance involves trajectory prediction and obstacle avoidance, utilizing reinforcement learning for self-improvement.
  • Implementation discussions include military applications and emergency monitoring, highlighting significant operational benefits.
  • The architecture includes essential sensor modules such as GPS, camera, and LiDAR with communication tools for telemetry.

Cite This Study

Gulenko et al. (2025) studied this question.

synapsesocial.com/papers/68e861a57ef2f04ca37e4638https://doi.org/10.34132/mspc2025.01.06.14
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Perspectives Regarding UAS Control in Aquatic Environments (Rivers and Streams) based on Machine Learning2025
  2. 2AI-Enhanced Intrusion Detection for UAV Systems: A Taxonomy and Comparative Review2025 · 19 citations
  3. 3AI-Enhanced Eco-Efficient UAV Design for Sustainable Urban Logistics: Integration of Embedded Intelligence and Renewable Energy Systems2025
  4. 4Review of AI-augmented multisensor architectures for detecting and neutralizing UAV threats2025 · 2 citations
  5. 5Conflict Detection, Resolution, and Collision Avoidance for Decentralized UAV Autonomy: Classical Methods and AI Integration2025