36 citations · 50 across the 12 of their papers we have counts for
12 papers
A Bearing-Strength Method for Motion Estimation of Unknown Energy Emitters
Haoyu Chen, Zian Ning, Yin Zhang +1
This paper studies motion estimation of moving energy emitters using passive sensors. The emitters may be light, acoustic, or radio sources. While the bearing vector pointing from…
Infra-Swarm: Robust Vision-Based Multi-Robot Swarming via Near-Infrared Spectral Vision
Haoyu Chen, Qijin Li, Wanyu Xiang +3
Distributed swarms typically rely on either active wireless communication or passive vision, and they are frequently hindered by bandwidth constraints or environmental sensitivity.…
Observability-Enhanced Target Motion Estimation via Bearing-Box: Theory and MAV Applications
Yin Zhang, Zian Ning, Shiyu Zhao
Monocular vision-based target motion estimation is a fundamental challenge in numerous applications. This work introduces a novel bearing-box approach that fully leverages modern 3…
Multi-Robot Cooperative Herding through Backstepping Control Barrier Functions
Kang Li, Ming Li, Wenkang Ji +2
We propose a novel cooperative herding strategy through backstepping control barrier functions (CBFs), which coordinates multiple herders to herd a group of evaders safely towards…
Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
Guobin Zhu, Rui Zhou, Wenkang Ji +3
Multi-task multi-agent reinforcement learning (MT-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challen…
EvDetMAV: Generalized MAV Detection from Moving Event Cameras
Yin Zhang, Zian Ning, Xiaoyu Zhang +3
Existing micro aerial vehicle (MAV) detection methods mainly rely on the target's appearance features in RGB images, whose diversity makes it difficult to achieve generalized MAV d…
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
Guobin Zhu, Rui Zhou, Wenkang Ji +1
Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. La…
Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos
Shucheng Gong, Lingzhe Zhao, Wenpu Li +4
Photo-realistic novel view synthesis from multi-view images, such as neural radiance field (NeRF) and 3D Gaussian Splatting (3DGS), has gained significant attention for its superio…
MBA-SLAM: Motion Blur Aware Gaussian Splatting SLAM
Peng Wang, Lingzhe Zhao, Yin Zhang +2
Emerging 3D scene representations, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated their effectiveness in Simultaneous Localization and Ma…
Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network
Yin Zhang, Jinhong Deng, Peidong Liu +2
Visual detection of Micro Air Vehicles (MAVs) has attracted increasing attention in recent years due to its important application in various tasks. The existing methods for MAV det…
A Bearing-Angle Approach for Unknown Target Motion Analysis Based on Visual Measurements
Zian Ning, Yin Zhang, Jianan Li +2
Vision-based estimation of the motion of a moving target is usually formulated as a bearing-only estimation problem where the visual measurement is modeled as a bearing vector. Alt…
Global-Local MAV Detection under Challenging Conditions based on Appearance and Motion
Hanqing Guo, Ye Zheng, Yin Zhang +2
Visual detection of micro aerial vehicles (MAVs) has received increasing research attention in recent years due to its importance in many applications. However, the existing approa…