Xiaofang Kong

Nanjing University of Science and Technology

Papers

Total Citations

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About

Xiaofang Kong is a researcher specializing in sensor fusion and 3D perception, with a particular focus on the calibration of laser range finders and camera systems. Her most-cited work, "Calibration of a single-point laser range finder and a camera" (2018), addresses a fundamental challenge in robotics and autonomous systems: achieving precise alignment between disparate sensors. This contribution, while modest in citation count (6), is notable for its practical methodology in enabling accurate depth estimation from low-cost hardware, a critical step for applications in mapping, object detection, and navigation. Kong’s research bridges the gap between theoretical calibration models and real-world deployment, offering a streamlined approach that reduces computational overhead while maintaining accuracy. Her work is particularly valuable for students and engineers seeking to integrate affordable sensors into perception pipelines, demonstrating that impactful contributions can emerge from focused, problem-driven studies. Kong’s dedication to sensor calibration underscores her role in advancing the reliability of autonomous systems, making her a resource for those exploring the intersection of optics, geometry, and robotics.