Chuting Wang

Beijing Institute of Technology, University of Detroit Mercy

Papers

Total Citations

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About

Chuting Wang is a computer vision and robotics researcher whose work centers on visual localization, autonomous navigation, and mobile manipulation. Her most impactful contribution, the 2021 paper "Recalling Direct 2D-3D Matches for Large-Scale Visual Localization," has garnered 9 citations and addresses a fundamental challenge in robotics and computer vision: accurately estimating a camera’s 6-DoF pose within a 3D scene model. This work advances the direct 2D-3D matching approach, a preferred method for robust visual localization in large-scale environments. Wang also explores autonomous systems in dynamic settings, as seen in her 2019 paper on a hybrid navigation and image processing model for mobile manipulation, which integrates a Pioneer 3-AT robot with a 6-DOF arm for tasks like warehouse management and disaster rescue. By bridging perception and action, her research enhances robot autonomy in unknown terrains. With a focus on practical, real-world applications, Wang’s contributions are shaping the next generation of intelligent, self-navigating robots, making her a rising figure in the intersection of vision-based localization and robotic manipulation.