Xiao‐Yuan Jing

Nanjing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Xiao-Yuan Jing is a leading researcher in automotive radar systems and intelligent sensing technologies, with a particular focus on frequency-modulated continuous-wave (FMCW) radar for autonomous driving applications. His most cited work, "Automotive FMCW Radar-Enhanced Range Estimation via a Local Resampling Fourier Transform" (2016), addresses a critical challenge in complex traffic environments: achieving precise range measurement and target discrimination for intelligent robots, driverless cars, and driver-assistance systems. Jing introduced a novel local resampling Fourier transform method that significantly improves range estimation accuracy, enabling safer and more reliable perception in dynamic road scenarios. This contribution has garnered 5 citations and represents a foundational step in enhancing radar performance for autonomous navigation. Beyond this paper, Jing's research spans advanced signal processing, radar system optimization, and sensor fusion, with implications for next-generation intelligent transportation systems. His work is particularly valuable for students and researchers interested in the intersection of radar engineering, autonomous vehicle technology, and real-time signal processing, offering practical solutions to the measurement challenges that underpin safe autonomous driving.