Papers
3
Total Citations
17
H-Index
2
About
Jueun Jung is an emerging researcher specializing in hardware architecture for autonomous systems, with a focused expertise in LiDAR-based Simultaneous Localization and Mapping (SLAM) processor design. Jung's work sits at the intersection of embedded systems, artificial intelligence, and robotics, addressing one of the most pressing challenges in autonomous driving: enabling real-time, energy-efficient perception and navigation in mobile robots. Jung's most significant contributions center on developing dedicated System-on-Chip (SoC) solutions for semantic LiDAR SLAM, moving beyond the limitations of camera-based visual SLAM processors. Notable works include the LSPU — a fully integrated real-time LiDAR-SLAM SoC incorporating point neural network segmentation and multi-level k-nearest neighbor acceleration — and a complementary low-power AI-based semantic LiDAR SLAM processor featuring spatiotemporal-aware computing. These designs combine 3D point cloud segmentation with robust localization pipelines, minimizing pose estimation errors while maintaining strict power and area constraints critical for mobile deployment. With citations accumulating rapidly across three 2024 publications, Jung is establishing a strong foothold in hardware-accelerated autonomous perception. This body of work represents meaningful progress toward bringing full autonomous driving capabilities to resource-constrained mobile robotic platforms.
Research Focus
Key Achievements
Top Papers
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