Submitted successfully

Track Ⅴ

Intelligent Perception and Agile Tracking of Heterogeneous Ground–Air Targets for UAVs
无人机陆空异类目标智能感知与敏捷跟踪
Submission Deadline: September 30, 2026 

 

Chair: Co-chairs:  
Hongxun Liu Yan Feng Yuanda Wang
Shanghai Dianji University, China Shanghai Dianji University, China Anhui University, China
     
Keywords:    
  • Unmanned aerial vehicle (UAV) (无人机)
  • Heterogeneous ground–air targets (陆空异类目标)
  • Intelligent perception (智能感知)
  • Target detection and recognition (目标检测与识别)
  • Agile tracking (敏捷跟踪)
  • Multi-object tracking (多目标跟踪)
  • Multi-sensor fusion (多传感器融合)
  • Maneuvering target tracking (机动目标跟踪)
     
Topics:    
  • Detection and recognition of heterogeneous ground–air targets from UAV platforms (无人机平台陆空异类目标检测与识别)
  • Cross-domain appearance modeling and feature alignment for ground versus aerial targets (地面与空中目标的跨域外观建模与特征对齐)
  • Agile visual tracking under fast maneuvers, occlusion, and abrupt viewpoint change (强机动、遮挡与视角突变条件下的敏捷视觉跟踪)
  • Multi-object tracking of mixed ground and aerial targets in cluttered scenes (复杂背景下陆空混合多目标跟踪)
  • Maneuvering-target motion modeling, state estimation, and track maintenance (机动目标运动建模、状态估计与航迹维持)
  • Multi-sensor fusion (EO/IR, radar, and onboard IMU) for heterogeneous-target perception (面向异类目标感知的光电/红外、雷达与机载 IMU 多源融合)
  • Scale, speed, and sampling mismatch between ground targets and aerial targets (陆上目标与空中目标在尺度、速度与采样上的失配问题)
  • Onboard real-time detection and tracking on resource-constrained UAV processors (资源受限机载计算平台上的实时检测与跟踪)
  • Dataset construction, metrics, and benchmarking for UAV heterogeneous-target tracking (无人机陆空异类目标跟踪的数据集构建、评价指标与基准测试)
     
Summary:    
This track focuses on autonomous perception and persistent tracking of heterogeneous ground and aerial targets by unmanned aerial vehicles in complex, dynamic environments, with emphasis on intelligent perception, target detection and recognition, and agile tracking. As unmanned aerial systems are increasingly applied in the low-altitude economy, emergency response, and airspace security, ground and aerial targets differ markedly in scale, maneuverability, and observation conditions. Robust recognition and agile tracking under short time windows, high maneuverability, and multi-source sensing uncertainty remain key open challenges. Topics of interest include detection and recognition of heterogeneous ground–air targets, multi-sensor fusion and situational awareness, agile tracking of maneuvering targets, visual tracking and track maintenance, and onboard real-time perception and tracking on resource-constrained platforms. The track aims to bring together cutting-edge research from academia and industry, and to support theoretical advances, technology validation, and practical applications of intelligent perception and agile tracking for heterogeneous UAV targets.
     
本分组报告面向无人机在复杂动态场景中对地面与空中异类目标的自主感知与持续跟踪需求，聚焦智能感知、目标检测识别与敏捷跟踪等关键技术进展。随着无人飞行系统在低空经济、应急救援和空域安防中的加速应用，陆上目标与空中目标在尺度、机动性和观测条件上差异显著，如何在短时窗、强机动和多源观测不确定条件下实现稳健识别与敏捷跟踪，仍是亟待突破的核心问题。专题重点讨论陆空异类目标检测与识别、多传感器融合与态势构建、机动目标敏捷跟踪、视觉跟踪与航迹维持，以及资源受限平台上的机载实时感知与跟踪方法。本分组报告旨在汇聚相关领域的前沿研究成果，促进学术界与工业界交流，为无人机异类目标智能感知与敏捷跟踪的理论发展、技术验证和应用落地提供支撑。