Linying Chen

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About

Linying Chen is a leading researcher in autonomous maritime navigation, with a primary focus on path planning for inland vessels. Her most-cited work, "Path Planning for Autonomous Inland Vessels Using A*BG" (2016), has garnered 18 citations and introduced a novel adaptation of the A* algorithm—enhanced with a background grid (A*BG)—to address the unique constraints of inland waterways, such as narrow channels and dynamic obstacles. This contribution has been foundational for developing safe and efficient autonomous navigation systems in confined aquatic environments. Chen's research bridges the gap between theoretical path planning and practical vessel control, emphasizing real-time decision-making under environmental uncertainty. Her work is particularly notable for its application to the emerging field of smart shipping, where autonomous vessels promise to reduce human error and improve logistics efficiency. By integrating heuristic search methods with waterway-specific constraints, Chen has provided a scalable framework that continues to influence subsequent studies in maritime robotics and intelligent transportation systems. Her achievements underscore her role in advancing the autonomy of inland vessels, a critical step toward sustainable and automated waterborne transport.