Papers
4
Total Citations
72
H-Index
3
About
Ang Jin is a leading researcher in autonomous robotics and 3D perception, with a focus on LiDAR-based sensing, exploration, and mapping. Their work centers on developing intelligent systems for challenging, non-exposed environments such as underground tunnels, disaster zones, and planetary caves. A key contribution is the **SGSR-Net**, a structure-semantics-guided LiDAR super-resolution network that enhances point cloud quality for indoor SLAM, enabling more accurate robot localization and mapping. This work has garnered **32 citations**. Jin also pioneered the **DCPLD-Net**, a diffusion-coupled convolutional neural network for real-time power transmission line detection from UAV-borne LiDAR data, also cited **32 times**, advancing infrastructure inspection. Their research on **intelligent multi-robot exploration** addresses critical challenges in GPS-denied spaces, while the **LuoJia-Explorer system** demonstrates collaborative exploration using multimodal LiDAR sensors. With a growing citation impact and a focus on real-world deployment—from power grids to planetary exploration—Jin’s work is shaping the future of autonomous navigation in the most demanding environments.
Research Focus
Key Achievements
Top Papers
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- 4Collaborative Exploration and Mapping with Multimodal LiDAR Sensors3 citations · 2023