Boyu Kuang
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
Top Papers
- 1Rock Segmentation in the Navigation Vision of the Planetary Rovers28 citations · 2021
- 2
- 3A Dataset for Autonomous Aircraft Refueling on the Ground (AGR)2 citations · 2023