Jinrong Ma

Papers

Total Citations

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About

Jinrong Ma is a researcher whose work sits at the intersection of computer vision, robotics, and adaptive imaging. His most cited contribution, "Autonomous robot navigation using Retinex algorithm for multiscale image adaptability in low-light environment" (2019, 18 citations), addresses a critical challenge in autonomous systems: reliable navigation under poor illumination. By applying the Retinex theory—a model of human color perception—Ma developed a multiscale algorithm that enhances image contrast and visibility in real time, enabling robots to perceive and traverse dim, unstructured environments without costly hardware upgrades. This work has practical implications for search-and-rescue missions, nocturnal surveillance, and planetary exploration. Ma’s approach stands out for its computational efficiency and robustness, bridging low-level image processing with high-level decision-making. While his citation count is modest, the paper’s focused impact on field robotics and adaptive vision systems signals a promising trajectory. His research exemplifies how biologically inspired algorithms can solve real-world engineering problems, offering a template for future work in autonomous navigation under adverse conditions.