In recent years, several progressive works promote the development of aerial tracking. One of the representative works is our previous work Fast-tracker which is applicable to various challenging tracking scenarios. However, it suffers from two main drawbacks: 1) the over simplification in target detection by using artificial markers and 2) the contradiction between simultaneous target and environment perception with limited onboard vision. In this paper, we upgrade the target detection in Fast-tracker to detect and localize a human target based on deep learning and non-linear regression to solve the former problem. For the latter one, we equip the quadrotor system with 360 degree active vision on a customized gimbal camera. Furthermore, we improve the tracking trajectory planning in Fast-tracker by incorporating an occlusion-aware mechanism that generates observable tracking trajectories. Comprehensive real-world tests confirm the proposed system's robustness and real-time capability. Benchmark comparisons with Fast-tracker validate that the proposed system presents better tracking performance even when performing more difficult tracking tasks.
PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction
The Hong Kong University of Science and Technology（香港科技大学）；Zhejiang University（浙江大学）；Huzhou Institute, Zhejiang University（浙江大学湖州研究院）；Sun Yat-Sen University（中山大学）
DMVC-Tracker: Distributed Multi-Agent Trajectory Planning for Target Tracking Using Dynamic Buffered Voronoi and Inter-Visibility Cells
Artificial Intelligence Institute of Seoul National University（首尔国立大学人工智能研究院）；Seoul National University of Science and Technology（首尔科学技术大学）；Seoul National University（首尔国立大学）
CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
ETH Zurich（苏黎世联邦理工学院）；University of Nevada, Reno（内华达大学雷诺分校）；Norwegian University of Science and Technology（挪威科技大学）；Flyability（Flyability公司）；Oxford Robotics Institute, University of Oxford（牛津大学牛津机器人研究所）
Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker
Hunan University（湖南大学）；National Engineering Research Centre for Robot Visual Perception and Control（国家机器人视觉感知与控制技术工程研究中心）；Nanyang Technological University（南洋理工大学）
An Open-source Hardware/Software Architecture and Supporting Simulation Environment to Perform Human FPV Flight Demonstrations for Unmanned Aerial Vehicle Autonomy
Hybrid Aerial-Ground Vehicle Autonomy in GPS-denied Environments
School of Aerospace, Mechanical and Mechatronic Engineering（航空航天、机械与机电工程学院）；The University of Sydney（悉尼大学）；Jet Propulsion Laboratory, California Institute of Technology（加州理工学院喷气推进实验室）
Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs
University of Twente（特文特大学）；LAAS-CNRS（系统分析与架构实验室）；Université de Toulouse（图卢兹大学）；CNRS（法国国家科学研究中心）；University of Padova（帕多瓦大学）；Politecnico of Milano（米兰理工大学）
Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology（电气工程与计算机科学系，麻省理工学院）；Department of Aeronautics and Astronautics, Massachusetts Institute of Technology（航空宇航系，麻省理工学院）
Towards Lifelong Aerial Autonomy: Geometric Memory Management for Continual Visual Place Recognition in Dynamic Environments
Department of Precision Instrument, Tsinghua University（清华大学精密仪器系）；College of Instrument Science and Opto-electronics Engineering, Beijing Information Science and Technology University（北京信息科技大学仪器科学与光电工程学院）；Key Laboratory of Complex System Intelligent Control and Decision Making, Beijing Institute of Technology（北京理工大学复杂系统智能控制与决策重点实验室）；School of Aerospace Engineering, Beijing Institute of Technology（北京理工大学宇航学院）
Hybrid Autonomy Framework for a Future Mars Science Helicopter
ETH Zurich（苏黎世联邦理工学院）；Jet Propulsion Laboratory / California Institute of Technology（喷气推进实验室/加州理工学院）；Control of Networked Systems Group, University of Klagenfurt（网络控制系统组，克雷格弗特大学）
Intention-Aware Planner for Robust and Safe Aerial Tracking
Zhejiang University（浙江大学）；Huzhou Institute, Zhejiang University（浙江大学湖州研究院）；Huzhou Laboratory of Autonomous Intelligent Systems（湖州自主智能系统实验室）；College of Control Science and Engineering, Zhejiang University（浙江大学控制科学与工程学院）；Robotics Institute of Zhejiang University（浙江大学机器人研究院）；College of Electrical Engineering, Zhejiang University（浙江大学电气工程学院）
Vision-based Navigation of Unmanned Aerial Vehicles in Orchards: An Imitation Learning Approach
Department of Biological and Agricultural Engineering, University of California, Davis, Davis, CA, USA（生物与农业工程系，加州大学戴维斯分校）；Department of Mechanical and Aerospace Engineering, University of California, Davis, Davis, CA, USA（机械与航空航天工程系，加州大学戴维斯分校）
Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning
AlfaisalX: Center of Excellence of Cognitive Robotics and Autonomous Agents（阿尔法西尔研究中心：认知机器人与自主代理中心）；Alfaisal University（阿尔法西尔大学）；Prince Sultan University（普森大学）
UAVs Meet Embodied Intelligence: Bridging Human Intents and Flying Dynamics Via Harnessing Physical-Digital AI Agents
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Beihang University（北京航空航天大学）；Shanxi Datong University（山西大同大学）；Johns Hopkins University（约翰斯·霍普金斯大学）；University of Sanya（三亚学院）；Wenzhou-Kean University（温州肯恩大学）；Macau University of Science and Technology（澳门科技大学）；KOKONI 3D, Moxin Technology（魔芯科技KOKONI 3D）；University of Science and Technology of China（中国科学技术大学）
