Mingmei Cheng

Nanjing University of Science and Technology

Papers

Total Citations

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About

Mingmei Cheng is a leading researcher in autonomous driving perception, with a primary focus on curb detection for road and sidewalk navigation. Her most-cited work, "Curb Detection for Road and Sidewalk Detection" (2018, 58 citations), addresses a critical challenge in self-driving technology: accurately identifying curbs despite occlusions, shadows, and the target's small size. Cheng's proposed detection paradigm significantly improves obstacle avoidance and road boundary recognition, laying essential groundwork for safer autonomous navigation. Beyond this flagship study, her research portfolio consistently advances computer vision techniques for urban scene understanding, contributing to the reliability of perception systems in complex environments. With her work garnering sustained attention from the autonomous driving community, Cheng has established herself as a key contributor to the practical deployment of self-driving vehicles. Her achievements underscore a commitment to solving real-world perception problems, making her research indispensable for students and engineers working on autonomous systems, robotics, and intelligent transportation.