用自然语言指令生成最优无人机飞行路径，效率提升18.5%。
UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales
- 结合视觉、语言与路径规划，通过文本指令生成飞行路线。
- 相比传统方法，路径长度减少18.5%，并实现安全避障。
- 适合需要高效自主飞行的无人机任务设计者使用。
UAV-VLPA*系统是空中机器人领域的前沿进展，旨在提升无人机（UAV）的通信与操作效率。该系统整合先进规划能力，解决旅行商问题（TSP），使飞行路径总长度相比传统方法减少18.5%。同时，融合A*算法实现复杂环境中的鲁棒避障，确保导航安全高效。系统结合卫星图像处理、视觉语言模型（VLM）与GPT自然语言处理能力，用户仅需简单文本指令即可生成详细飞行计划。视觉与语言分析的无缝融合，支持精准决策与任务规划，显著提升自主飞行效率与安全性。UAV-VLPA*为现代空中作业树立新标准，推动未来无人航空技术发展。
原文摘要 · Abstract (English)
The UAV-VLPA* (Visual-Language-Planning-and-Action) system represents a cutting-edge advancement in aerial robotics, designed to enhance communication and operational efficiency for unmanned aerial vehicles (UAVs). By integrating advanced planning capabilities, the system addresses the Traveling Salesman Problem (TSP) to optimize flight paths, reducing the total trajectory length by 18.5\% compared to traditional methods. Additionally, the incorporation of the A* algorithm enables robust obstacle avoidance, ensuring safe and efficient navigation in complex environments. The system leverages satellite imagery processing combined with the Visual Language Model (VLM) and GPT's natural language processing capabilities, allowing users to generate detailed flight plans through simple text commands. This seamless fusion of visual and linguistic analysis empowers precise decision-making and mission planning, making UAV-VLPA* a transformative tool for modern aerial operations. With its unmatched operational efficiency, navigational safety, and user-friendly functionality, UAV-VLPA* sets a new standard in autonomous aerial robotics, paving the way for future innovations in the field.
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