Yanyu Liu

Papers

Total Citations

109

H-Index

About

Yanyu Liu is a leading researcher in intelligent robotics and autonomous systems, with a core focus on 3D semantic mapping and multimodal sensor fusion. Her work bridges the critical gap between traditional geometric maps and rich environmental understanding, enabling robots to perceive not just spatial structure but also the meaning of objects around them. Her most impactful contribution, "Building and optimization of 3D semantic map based on Lidar and camera fusion" (2020), has garnered 101 citations, demonstrating its influence on advancing robot navigation and path planning. In this work, she pioneered a method that integrates Lidar point clouds with camera imagery to create robust, semantically annotated 3D maps. Earlier, her 2018 paper on "3D Semantic Mapping Based on Convolutional Neural Networks" laid the groundwork for applying deep learning to environmental perception, proposing a novel approach that moves beyond purely spatial representations. Liu’s research is pivotal for intelligent robots operating in complex, unstructured environments, offering a foundation for more accurate and context-aware autonomous systems. Her achievements highlight her as a key figure in the evolution of robotic perception.