2 citations · 5 across the 6 of their papers we have counts for
7 papers
LBDU-VIO: Learned Bias Dynamics and Uncertainty for Visual-Inertial Odometry with Unreliable Vision
Qizhi Guo, Junning Lyu, Defu Lin +1
Visual-inertial odometry (VIO) for aerial robots relies on high rate inertial measurement unit (IMU) propagation between visual updates. However, conventional multi state constrain…
SCT-MOT: Enhancing Air-to-Air Multiple UAVs Tracking with Swarm-Coupled Motion and Trajectory Guidance
Zhaochen Chu, Tao Song, Ren Jin +3
Air-to-air tracking of swarm UAVs presents significant challenges due to the complex nonlinear group motion and weak visual cues for small objects, which often cause detection fail…
Distributed Spatial-Temporal Trajectory Optimization for Unmanned-Aerial-Vehicle Swarm
Xiaobo Zheng, Pan Tang, Defu Lin +1
Swarm trajectory optimization problems are a well-recognized class of multi-agent optimal control problems with strong nonlinearity. However, the heuristic nature of needing to set…
AMO-HEAD: Adaptive MARG-Only Heading Estimation for UAVs under Magnetic Disturbances
Qizhi Guo, Siyuan Yang, Junning Lyu +3
Accurate and robust heading estimation is crucial for unmanned aerial vehicles (UAVs) when conducting indoor inspection tasks. However, the cluttered nature of indoor environments…
An Aerial Transport System in Marine GNSS-Denied Environment
Jianjun Sun, Zhenwei Niu, Yihao Dong +6
This paper presents an autonomous aerial system specifically engineered for operation in challenging marine GNSS-denied environments, aimed at transporting small cargo from a targe…
Long-Range Vision-Based UAV-assisted Localization for Unmanned Surface Vehicles
Waseem Akram, Siyuan Yang, Hailiang Kuang +7
The global positioning system (GPS) has become an indispensable navigation method for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS ma…
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility
Ahsan Baidar Bakht, Zikai Jia, Muhayy ud Din +6
The underwater environment presents unique challenges, including color distortions, reduced contrast, and blurriness, hindering accurate analysis. In this work, we introduce MuLA-G…