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Track Ⅳ

Sensing, Guidance and Physical Countermeasures for Low-Altitude High-Speed Intelligent Unmanned Aerial Systems
低空高速智能无人飞行系统感知、制导与物理反制技术
Submission Deadline: September 15, 2026 

 

Chair: Co-chairs:  
Liang Wang Shipu Yang Gen Xu
Tsinghua University, China

COMAC Shanghai Aircraft Design and

Research Institute, China

Ningbo Institute of Materials Technology &

Engineering, CAS, China
     
Keywords:    
  • Low-altitude security (低空安全)
  • Unmanned aerial systems (无人飞行系统)
  • Counter-UAS (反无人机)
  • Multi-source sensing (多源感知)
  • Target recognition and tracking (目标识别与跟踪)
  • Autonomous guidance (自主制导)
  • Net-capture interception (网捕拦截)
  • Net-launching device (网枪发射装置)
  • Kinetic interception (动能撞击)
     
Topics:    
  • Detection, recognition and tracking of low-altitude high-speed unmanned aerial targets (低空高速无人飞行目标探测、识别与跟踪技术)
  • Multi-source sensing fusion and low-altitude situational awareness using radar, electro-optical and RF sensors (雷达、光电、射频等多源感知融合与低空态势构建)
  • UAV target recognition and trajectory prediction in complex environments (复杂背景下小微型无人机目标识别与航迹预测方法)
  • Autonomous guidance, path planning and interception decision-making for highly maneuvering aerial targets (高速机动无人目标自主制导、路径规划与拦截决策)
  • Net-capture UAVs, net-launching devices and flexible physical interception technologies (网捕无人机、网枪发射装置与柔性物理拦截技术)
  • Kinetic interception UAVs, terminal guidance and high-precision collision engagement (动能撞击无人机、末端导引与高精度碰撞拦截技术)
  • Cooperative counter-UAS operations, task allocation and collision avoidance control (多无人机协同反制、任务分配与安全避碰控制)
  • Low-altitude security applications in airports, petrochemical parks, critical infrastructures and training ranges (机场、石化园区、重点设施和训练区域低空安全防护应用)
  • Test and evaluation methods for counter-UAS systems, wind-resistance performance and scenario-based validation (低空反无人机系统测试评估、抗风性能与场景化验证方法)
  • Safety management, digital twins and engineering demonstrations for advanced unmanned aerial systems (先进无人飞行系统安全管控、数字孪生与工程示范应用)
     
Summary:    
This track focuses on the safety and security challenges posed by low-altitude high-speed unmanned aerial targets, with emphasis on key advances in sensing, target recognition, trajectory prediction, autonomous guidance, physical interception, and scenario-based validation of advanced unmanned aerial systems. Topics include multi-source sensor fusion, UAV recognition and tracking in complex environments, trajectory prediction for highly maneuvering targets, net-capture interception, novel net-launching devices, kinetic interception, cooperative multi-agent engagement, and system-level demonstration in airports, petrochemical parks, critical infrastructures, and training ranges. The track aims to promote academic exchange and engineering applications in low-altitude security, intelligent unmanned systems, and physical counter-UAS technologies, and to support research output, technology validation, and demonstration of low-altitude high-speed intelligent physical counter-UAS systems.
     
本分组报告面向低空高速无人飞行目标带来的安全防护需求，聚焦先进无人飞行系统在低空感知、目标识别、航迹预测、自主制导、物理拦截与场景化验证中的关键技术进展。专题重点讨论多源传感器融合、复杂背景下无人机识别与跟踪、高速机动目标航迹预测、网捕拦截、新型网枪发射装置、动能撞击拦截、多机协同处置以及机场、石化园区、重点设施和训练区域等典型场景中的系统集成与应用验证。专题旨在促进低空安全、智能无人系统和物理反无人机技术领域的学术交流与工程应用，为低空高速智能物理反无人机系统的关键技术攻关、成果转化和示范应用提供支撑。