1 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations
Xingyu Qu, Wenxuan Zhang, Peng Hu
With the growing number of satellites in low Earth orbit (LEO) constellations, the near-Earth space environment has become increasingly congested, making space object detection (SO…
An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals
Wenxuan Zhang, Peng Hu
The increasing adoption of satellite Internet with low-Earth-orbit (LEO) satellites in mega-constellations allows ubiquitous connectivity to rural and remote areas. However, weathe…
An Edge AI Solution for Space Object Detection
Wenxuan Zhang, Peng Hu
Effective Edge AI for space object detection (SOD) tasks that can facilitate real-time collision assessment and avoidance is essential with the increasing space assets in near-Eart…
Toward Onboard AI-Enabled Solutions to Space Object Detection for Space Sustainability
Wenxuan Zhang, Peng Hu
The rapid expansion of advanced low-Earth orbit (LEO) satellites in large constellations is positioning space assets as key to the future, enabling global internet access and relay…
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers
Wenxuan Zhang, Peng Hu
The rapid increase of space assets represented by small satellites in low Earth orbit can enable ubiquitous digital services for everyone. However, due to the dynamic space environ…