9 papers
JitTrack: Onboard Multi-Object Tracking Against Viewpoint Jitter for Agile UAVs
Yachun Shan, Feitian Zhang
Multi-object tracking (MOT) onboard agile unmanned aerial vehicles (UAVs) remains challenging due to severe viewpoint jitter induced by camera ego-motion. Rapid attitude changes du…
Difference-Based Relational Learning for Zero-Shot Object-Goal Visual Navigation With Direct Sim-to-Real Transfer
Guolei Qi, Feitian Zhang
End-to-end deep reinforcement learning (DRL) for zero-shot object-goal visual navigation remains challenged by the sim-to-real gap, particularly variations in object appearance and…
Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
Liuyang Wang, Feitian Zhang
Object detection from Unmanned Aerial Vehicles (UAVs) is challenged by severe ego-motion, camera jitter, and large scale variations. While modern detectors perform well on static i…
Collision-Aware Object-Goal Visual Navigation via Two-Stage Deep Reinforcement Learning
Hongwu Wang, Shiwei Lian, Feitian Zhang
Object-goal visual navigation aims to reach a specific target object using egocentric visual observations. Recent deep reinforcement learning (DRL) approaches have achieved promisi…
Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration
Xiaorui Wang, Hongwu Wang, Yue Fan +2
This paper investigates goal-directed tracking control of underactuated blimps with center-of-mass (CoM) reconfiguration. Unlike conventional overactuated blimp designs that rely o…
Dual-Regime Hybrid Aerodynamic Modeling of Winged Blimps With Neural Mixing
Xiaorui Wang, Hongwu Wang, Yue Fan +2
Winged blimps operate across distinct aerodynamic regimes that cannot be adequately captured by a single model. At high speeds and small angles of attack, their dynamics exhibit st…