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| Yankun Wang |
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| Harbin Institute of Technology, China |
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| Co-chairs: |
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| Guanghui Sun |
Weiran Yao |
Dong Zhou |
Bing Zhang |
| Harbin Institute of Technology, China |
Harbin Institute of Technology, China |
Harbin Institute of Technology, China |
Deep Space Exploration Laboratory (Tiandu Laboratory), China |
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| Keywords: |
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- Multi-source Sensor Fusion (多源传感器融合)
- Environmental Perception and Modeling (环境感知与建模)
- Collaborative Perception (协同感知)
- Dynamic Scene Understanding (动态场景理解)
- Foundation Model-based Perception (基于大模型的感知)
- Target Detection and Recognition (目标检测与识别)
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| Topics: |
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- Multi-modal sensor fusion for unmanned systems (无人系统多模态传感器融合)
- Real-time environmental perception, mapping, and 3D scene reconstruction (实时环境感知、建图与三维场景重建)
- Object detection, tracking, and recognition in complex dynamic environments (复杂动态环境中的目标检测、跟踪与识别)
- Collaborative perception and situational awareness for unmanned swarms (无人集群协同感知与态势感知)
- Integrated sensing and communication (ISAC) technologies for unmanned systems (无人系统通信感知一体化技术)
- Foundation model-based and deep learning-driven perception approaches (基于大模型与深度学习驱动的感知方法)
- Active perception and perception-aware motion planning (主动感知与感知感知运动规划)
- Robust perception under adverse weather, low visibility, and GNSS-denied conditions (恶劣天气、低能见度及拒止环境下的鲁棒感知)
- Edge computing and onboard real-time perception for resource-constrained platforms (资源受限平台的边缘计算与机载实时感知)
- Perception system benchmarking, dataset construction, and performance evaluation (感知系统基准测试、数据集构建与性能评估)
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| Summary: |
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- The rapid advancement of unmanned systems, has placed perception and environmental understanding at the forefront of autonomous operation research. Reliable perception capabilities are fundamental to enabling safe navigation, obstacle avoidance, target tracking, and mission planning in complex and dynamic environments. This special session aims to bring together researchers, engineers, and practitioners from academia and industry to explore cutting-edge advancements in perception technologies for unmanned systems. We invite contributions that address fundamental challenges in multi-sensor fusion, real-time scene understanding, collaborative perception among heterogeneous platforms, and the integration of artificial intelligence with perception systems. The session seeks to foster interdisciplinary discussions and catalyze innovations that push the boundaries of what unmanned systems can perceive and understand in unstructured, uncertain, and safety-critical scenarios.
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- 无人系统的快速发展，使得感知与环境理解能力成为自主运行研究的核心前沿。可靠的感知能力是实现无人系统在复杂动态环境中安全导航、避障、目标跟踪及任务规划的基础。本专题旨在汇聚来自学术界与工业界的研究人员、工程师及从业者，共同探讨无人系统感知技术的前沿进展。我们诚邀投稿，重点关注多源传感器融合、实时场景理解、异构平台协同感知以及人工智能与感知系统深度融合等方向的基础性挑战。本专题致力于促进跨学科交流，推动在非结构化、不确定及安全关键场景中无人系统感知与理解能力的突破性创新。
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