《国防科技》编辑部       温馨提示:建议您使用Firefox、Chrome、IE最新版本、360极速等浏览器,若您的浏览器版本过低,可能会影响部分功能正常使用。
【专题】复杂陆战场环境下的智能感知理论现状与发展
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Current situation and future development of intelligent perception theory in complex land battlefield environment
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    近年来,由于基于深度学习方法的智能检测算法不断演进,其网络结构不断进化,实用化程度不断提高,因此,将其应用于复杂战场环境下,形成实用化智能感知能力的可行性不断提高。然而算法的可靠性、可解释性问题目前仍未完全解决。本文认为,在未来的地面无人平台系统框架内,使用基于深度学习的目标检测识别方法,融合多种传感器感知信号,探索如何可靠地收集无人平台附近敌我车辆、人员、相关物体状况以及视距内的地理与气象环境信息,能够实现多元智能感知过程,构建智能复杂体系,为无人平台实现复杂战场环境感知理解,自主环境判定、自主行走、自主危险判定甚至威胁自动处置提供技术储备。同时,这也将是军队下一步智能感知理论方向的主要任务。

    Abstract:

    With the continuous evolution of intelligent detection algorithm based on deep learning method, its network structure is constantly evolving, and the degree of practicability is constantly improved. Therefore, the feasibility of applying it to complex battlefield environment to form practical intelligent perception ability is constantly improved. However, the reliability and interpretability of the algorithm have not been solved. In the future, in the framework of the ground unmanned platform system, the target detection and recognition method based on deep learning is used to fuse the sensing signals of multiple sensors to explore how to reliably collect the conditions of enemy vehicles, personnel, related objects near the unmanned platform, as well as the geographical and meteorological environment in the visual range. So as to realize the multiple intelligent sensing process and realize the perception and understanding of complex battlefield environment for unmanned platform. It will be the main task of our army's intelligent perception theory in the future to provide technical reserves for autonomous environment determination, autonomous walking, autonomous danger determination and even threat automatic disposal.

    参考文献
    相似文献
    引证文献
引用本文

李 程,夏 丹*,董世运,胡雪松,戴 迪.【专题】复杂陆战场环境下的智能感知理论现状与发展[J].国防科技,2021,42(3):42-48;LI Cheng, XIA Dan, DONG Shiyun, HU Xuesong, DAI Di. Current situation and future development of intelligent perception theory in complex land battlefield environment[J]. National Defense Technology,2021,42(3):42-48

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-06-30
  • 出版日期: 2021-06-30

关于我们

友情链接

微信公众号二维码

手机版网站二维码