宇航计测技术 ›› 2025, Vol. 45 ›› Issue (2): 83-90.doi: 10.12060/j.issn.1000-7202.2025.02.06

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面向无人机感知与决策能力测量的虚拟仿真平台构建方法

耿钰轩,王立宏,王潇潇,汪思彤,卢奕南,伍铁如,马锐*   

  1. 吉林大学,长春 130012
  • 出版日期:2025-04-15 发布日期:2025-04-29
  • 作者简介:耿钰轩(2001-),男,在读硕士研究生,主要研究方向:计算机图形学与人工智能。

A Method for Constructing a Virtual Simulation Platform for Measuring UAV Perception and Decision-Making Capabilities

GENG Yuxuan,WANG Lihong,WANG Xiaoxiao,WANG Sitong,LU Yinan,WU Tieru,MA Rui*   

  1. Jilin University,Changchun 130012,China
  • Online:2025-04-15 Published:2025-04-29

摘要: 随着无人机技术的发展,如何有效测量无人机的智能化水平成为重要问题。传统的实地测量方法成本高、效率低,且易受环境影响。因此,基于虚幻引擎和AirSim平台,提出了一种面向无人机感知与决策能力测量的虚拟仿真平台构建方法,通过虚拟环境中的任务执行表现来评估无人机的感知与决策能力。该平台利用高精度场景和动态天气、交通等因素,模拟复杂环境下无人机的飞行任务,支持多种无人机感知与决策算法的测试和评估。与实地测量相比,测量成本和时间都得到大幅降低,且增强了灵活性。试验结果表明,该平台在交互性和仿真效果方面具有显著优势,能够为无人机算法的优化和发展提供有效支持,展现出广泛的应用前景和实用价值。

关键词: 无人驾驶飞行器, 仿真, 感知与决策, AirSim, 虚幻引擎, 测量平台

Abstract: With the development of UAV technology,effectively measuring the intelligence level of UAVs has become an important issue.Traditional field measurement methods are costly,inefficient,and sensitive to environmental factors.Therefore,based on Unreal Engine and the AirSim platform,a virtual simulation platform for measuring UAV perception and decision-making capabilities was proposed,using the performance of UAV flight tasks in virtual environments to assess their perception and decision-making capabilities.The platform simulates  UAV flight tasks in complex environments with high-precision scenes and dynamic factors such as weather and traffic,supporting the testing and evaluation of various UAV perception and decision-making algorithms.Compared to field measurements,by this method costs and time are significantly reduced while enhancing flexibility.Test results show that the platform has significant advantages in interactivity and simulation effectiveness,providing effective support for optimizing and developing UAV algorithms,with broad application prospects and practical value.

Key words: UAV, Simulation, Perception and decision-making, AirSim, Unreal engine, Measurement platform

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