Special Session Ⅸ

Development and Application of Intelligent Navigation and Multi-source Information Fusion Technology for Unmanned Systems   

(无人系统智能导航与多源信息融合技术的发展与应用)                                                                                    (Submission Deadline: Oct. 10, 2025)


Chair: 



Shuai Chen


Nanjing University of Science and Technology, China



Keywords:

Topics:

  • Intelligent Navigation

    (智能导航)

  • Multi-source Information Fusion

    (多源信息融合)

  • Image Enhancement

    (图像增强)

  • Unmanned Systems

    (无人系统)

  • Satellite-denied Environments

    (卫星拒止环境)

  • Autonomous Navigation

    (自主导航)

  • Situational Awareness

    (态势感知)

  • Intelligent Perception, Target Detection, and Recognition of Unmanned Systems

    (无人系统的智能感知与目标检测与识别)

  • Autonomous Navigation Methods and Applications Under Satellite Denial

    (卫星拒止下的自主导航方法与应用)

  • Intelligent Fusion Algorithms for Multi-source Information and Their Engineering

    Applications

    (多源信息智能融合算法与工程应用)

  • Image Enhancement Methods in Complex Environments

    (复杂环境下的图像增强方法)


Summary:

As core technologies for modern autonomous unmanned systems, intelligent navigation and multi-source information fusion technologies for unmanned systems are profoundly changing the landscape of applications in both military and civilian sectors. This conference will focus on core areas of unmanned systems, including situational awareness, target detection and recognition, intelligent fusion of multi-source information, and multi-agent collaborative navigation and control, and explore the challenges and development trends facing these core areas. We hope that through this conference, experts and scholars in this field will be able to share their latest research findings and jointly promote the development and practical application of intelligent navigation and multi-source information fusion technologies for unmanned systems.


无人系统智能导航与多源信息融合技术作为现代自主无人系统的核心技术，正深刻改变着军事与民用领域的应用格局。本次会议将聚焦无人系统的核心领域，包括态势感知、目标检测与识别、多源信息智能融合、多智能体协同导航与控制等，并探讨这些核心领域面临的挑战和发展趋势。我们希望通过本次会议，聚焦本领域的专家和学者，分享最新的研究成果，共同推动无人系统智能导航与多源信息融合技术的发展和实际运用。