Scopes
(Include but not limited to)
Track 1: Aerospace Intelligent Sensing and Sensing Technology
Intelligent sensing and recognition technology in aerospace
Machine vision and image understanding
Multimodal sensor fusion
Lidar and 3D point cloud sensing
Remote sensing and Earth observation sensing
Deep learning in perception
Signal processing and feature extraction
Quantum sensing and precise measurement
Edge intelligence and Internet of Things sensing
Human-computer interaction and environmental sensing
On-board in-orbit information processing and fusion
Multi-source satellite data fusion
Intelligent interpretation of on-orbit multi-source remote sensing images
Intelligent fault diagnosis and health management
Intelligent sensing for 5G/6G
Track 2: Autonomous Navigation, Positioning and Path Planning
Autonomous navigation and path planning of aerospace vehicles
Integrated technology of autonomous navigation and positioning
Navigation and positioning in complex environments
Autonomous obstacle avoidance technology for drones and satellites
Optimized integration of precise navigation technology and multi-modal navigation system
Innovation and challenges of satellite navigation systems
Navigation systems based on sensor fusion
Terrain-assisted navigation technology
Navigation technology in extreme environments
Prospects of quantum navigation applications
Combinatorial navigation algorithms (inertial/polar/Kalman filtering, etc.)
Laser/thermal imaging/inertial tightly-coupled SLAM
Intelligent navigation for deep space exploration
Intelligent navigation for unmanned systems
Security and privacy protection of navigation systems
Track 3: Autonomous Systems and Intelligent Control Decision-making
Aerospace autonomous decision support system
Flight control and guidance system
Intelligent and adaptive control
Autonomous control algorithms and intelligent decision-making
Multi-agent collaborative task allocation and formation control
Multi-UAV cluster collaboration
Group intelligence and multi-agent systems
Cooperative and distributed control
Autonomous control of aircraft in complex environments
Safety and robustness assessment of autonomous systems
Aerospace large models and pre-training applications
Application of reinforcement learning in control
Interpretable and safe artificial intelligence control
Intelligent task planning and resource allocation
Digital twin and cyber-physical systems
......
Track 1: Aerospace Intelligent Sensing and Sensing Technology
Intelligent sensing and recognition technology in aerospace
Machine vision and image understanding
Multimodal sensor fusion
Lidar and 3D point cloud sensing
Remote sensing and Earth observation sensing
Deep learning in perception
Signal processing and feature extraction
Quantum sensing and precise measurement
Edge intelligence and Internet of Things sensing
Human-computer interaction and environmental sensing
On-board in-orbit information processing and fusion
Multi-source satellite data fusion
Intelligent interpretation of on-orbit multi-source remote sensing images
Intelligent fault diagnosis and health management
Intelligent sensing for 5G/6G
Track 2: Autonomous Navigation, Positioning and Path Planning
Autonomous navigation and path planning of aerospace vehicles
Integrated technology of autonomous navigation and positioning
Navigation and positioning in complex environments
Autonomous obstacle avoidance technology for drones and satellites
Optimized integration of precise navigation technology and multi-modal navigation system
Innovation and challenges of satellite navigation systems
Navigation systems based on sensor fusion
Terrain-assisted navigation technology
Navigation technology in extreme environments
Prospects of quantum navigation applications
Combinatorial navigation algorithms (inertial/polar/Kalman filtering, etc.)
Laser/thermal imaging/inertial tightly-coupled SLAM
Intelligent navigation for deep space exploration
Intelligent navigation for unmanned systems
Security and privacy protection of navigation systems
Track 3: Autonomous Systems and Intelligent Control Decision-making
Aerospace autonomous decision support system
Flight control and guidance system
Intelligent and adaptive control
Autonomous control algorithms and intelligent decision-making
Multi-agent collaborative task allocation and formation control
Multi-UAV cluster collaboration
Group intelligence and multi-agent systems
Cooperative and distributed control
Autonomous control of aircraft in complex environments
Safety and robustness assessment of autonomous systems
Aerospace large models and pre-training applications
Application of reinforcement learning in control
Interpretable and safe artificial intelligence control
Intelligent task planning and resource allocation
Digital twin and cyber-physical systems
......
Important Dates/重要日期
- Submission Deadline: 2026.11.26
- Registration Deadline: 2026.12.3
- Conference Date: 2026.12.11
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: isubmit_paper@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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