Boyu Kuang

Cranfield University

Papers

3

Total Citations

42

H-Index

2

About

Boyu Kuang is a researcher at the forefront of autonomous systems, specializing in computer vision and robotics for extreme environments. His work is pivotal in advancing the autonomy of planetary rovers, where he tackles the fundamental challenge of visual navigation. Kuang’s major contributions include developing robust frameworks for semantic segmentation in unstructured terrains. His 2021 paper on rock segmentation, with 28 citations, addresses the computationally intensive task of identifying rocks in rover navigation visions—a critical step for safe traversal. Complementing this, his work on sky and ground segmentation, also from 2021, introduces a weakly supervised approach to parse essential scene components, earning 12 citations. Beyond planetary exploration, Kuang has expanded into aviation automation. His 2023 paper introduces a novel dataset for autonomous aircraft ground refueling, a key step toward safer and more efficient airport operations. By bridging the gap between planetary robotics and terrestrial aviation, Kuang demonstrates a unique ability to apply advanced vision techniques across domains. His research not only pushes the boundaries of autonomous navigation but also provides the foundational datasets and algorithms that enable future breakthroughs in field robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
42
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Rock Segmentation in the Navigation Vision of the Planetary Rovers
28 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Cranfield University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago