9 papers
3D UAV Trajectory Estimation and Classification from Internet Videos via Language Model
Haoxiang Lei, Daotong Wang, Shenghai Yuan +1
Reliable 3D trajectory estimation of unmanned aerial vehicles (UAVs) is a fundamental requirement for anti-UAV systems, yet the acquisition of large-scale and accurately annotated…
Multi-Agent Off-World Exploration for Sparse Evidence Discovery via Gaussian Belief Mapping and Dual-Domain Coverage
Zhuoran Qiao, Tianxin Hu, Thien-Minh Nguyen +1
Off-world multi-robot exploration is challenged by sparse targets, limited sensing, hazardous terrain, and restricted communication. Many scientifically valuable clues are visually…
PanoDP: Learning Collision-Free Navigation with Panoramic Depth and Differentiable Physics
Hao Zhong, Pei Chi, Jiang Zhao +4
Autonomous collision-free navigation in cluttered environments requires safe decision-making under partial observability with both static structure and dynamic obstacles. We presen…
Aerial Target Encirclement and Interception with Noisy Range Observations
Fen Liu, Shenghai Yuan, Thien-Minh Nguyen +2
This paper proposes a strategy to encircle and intercept a non-cooperative aerial point-mass moving target by leveraging noisy range measurements for state estimation. In this appr…
EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events
Siyu Chen, Shenghai Yuan, Thien-Minh Nguyen +4
Gaussian Splatting SLAM (GS-SLAM) offers a notable improvement over traditional SLAM methods, enabling photorealistic 3D reconstruction that conventional approaches often struggle…
Label-Free Long-Horizon 3D UAV Trajectory Prediction via Motion-Aligned RGB and Event Cues
Hanfang Liang, Shenghai Yuan, Fen Liu +5
The widespread use of consumer drones has introduced serious challenges for airspace security and public safety. Their high agility and unpredictable motion make drones difficult t…