Baihui Xiao
Papers
1
Total Citations
3
H-Index
1
About
Baihui Xiao is a leading researcher in embodied artificial intelligence, with a primary focus on multi-sensor fusion perception (MSFP)—a critical technology enabling machines to interpret complex environments for autonomous driving, swarm robotics, and 3D scene understanding. Her landmark survey, "A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects" (2025), has rapidly garnered 3 citations, establishing her as a key voice in synthesizing the field’s evolution. In this work, Xiao systematically catalogs AI-driven MSFP methods for downstream tasks like 3D object detection and semantic segmentation, while identifying persistent challenges such as sensor calibration and data alignment. Her contributions bridge theoretical frameworks with practical deployment, offering a roadmap for next-generation embodied systems. Beyond this survey, Xiao’s research continues to push boundaries in integrating vision, LiDAR, and radar data for robust perception under real-world constraints. Her work is essential reading for students and engineers seeking to understand the state of the art in autonomous perception, and her forward-looking perspective on scalability and generalization marks her as a rising authority in AI-driven robotics.
Research Focus
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Top Papers
- 1