Papers
3
Total Citations
17
H-Index
2
About
Wuyoung Jang is an emerging researcher specializing in hardware architecture for autonomous systems, with a focused expertise in LiDAR-based Simultaneous Localization and Mapping (SLAM) processors and energy-efficient computing for mobile robotics. His work addresses a critical gap in autonomous driving technology: the limitations of camera-based visual SLAM systems, which suffer from restricted fields of view and inaccurate depth perception. Jang's major contributions center on designing fully integrated, real-time LiDAR-SLAM system-on-chips (SoCs) that incorporate point neural network (PNN)-based 3D segmentation and multi-level k-nearest neighbor (kNN) acceleration, enabling advanced spatial perception with low power consumption. His 2024 papers — including "LSPU: A Fully Integrated Real-Time LiDAR-SLAM SoC" and "An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots" — have each garnered 8 citations within their publication year, signaling rapid recognition in the robotics and VLSI communities. By combining AI-driven 3D perception with spatiotemporal-aware computing architectures, Jang's research is helping bridge the gap between algorithmic advances in autonomous navigation and the practical hardware constraints of next-generation mobile robots.
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