Chaoyang Ding
Papers
2
Total Citations
5
H-Index
2
About
Chaoyang Ding is a researcher specializing in energy-efficient hardware acceleration for visual simultaneous localization and mapping (V-SLAM) systems, with a focus on enabling real-time robotic perception on mobile and embedded platforms. His major contributions center on designing FPGA-based accelerators that dramatically improve the speed and energy efficiency of computationally intensive SLAM tasks, such as corner detection and pose estimation. Notably, his 2023 paper on a corner-detection accelerator achieved an impressive 325 frames per second, demonstrating how hardware-oriented optimizations can overcome the algorithmic complexity that often bottlenecks SLAM performance. Another key work presents an energy-efficient pose-estimation FPGA accelerator tailored for real-time mobile V-SLAM robots, addressing the high computational demands of nonlinear optimization-based SLAM. While his citation counts are currently modest (3 and 2 citations respectively), these works represent foundational advances in bridging the gap between robust SLAM algorithms and practical, low-power deployment. Ding’s research is particularly relevant for students and engineers working on autonomous navigation, robotics, and embedded computer vision, offering a clear path toward making high-performance SLAM accessible for real-world mobile applications.
Research Focus
Key Achievements
Top Papers
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- 2