Progress and Innovations in Multi-Source Information Fusion, Navigation, and Guidance Technologies

Chair:
Shuai Chen Nanjing University of Science and Technology, China

Key Words: Multi-source information fusion; filtering algorithms; cooperative navigation and guidance; intelligent navigation; positioning, navigation, and timing (PNT)

Information: Advances in the information era have imposed higher performance requirements on navigation systems, while also introducing new methods and challenges. This conference aims to discuss innovations and engineering practices in multi-source information fusion algorithms, data-driven intelligent navigation algorithms, and image-recognition- and matching-based localization methods, in order to improve the accuracy and robustness of position, attitude, and timing information. In addition, the conference will further explore integrated implementations of cooperative navigation, guidance, and control. We hope to jointly examine the latest research achievements and future development trends in navigation–control–guidance integration under complex conditions such as high dynamics, severe electromagnetic interference, and weak textures, thereby promoting solutions to high-precision position, attitude, and timing acquisition as well as navigation and guidance problems for aircraft, spacecraft, automobiles, robots, ships, underwater vehicles, and other platforms operating in diverse environments, including low-altitude, high-altitude, deep-space, urban canyons, indoor and underground spaces, sea surface, and underwater settings.

Topics of interest include but are not limited to:

• Innovations and applications in cooperative navigation and guidance
• Multi-source information fusion algorithms and engineering applications
• Image recognition and matching algorithms in complex environments
• Data-driven intelligent navigation methods and innovations
• Integrated PNT and micro-PNT technologies

Submission Deadline: April 28, 2026 (the first round)