Nguyen Van Quan

Papers

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About

Dr. Nguyen Van Quan has established himself as a key figure in intelligent transportation and autonomous vehicle navigation, with a particular focus on vision-based control systems for indoor environments. His most cited work, "Vision Sensor-Based Driving Algorithm for Indoor Automatic Guided Vehicles" (2013), presents a pioneering approach to path tracking using dual mono cameras—one mounted to observe the environment and another to detect markers ahead. This algorithm enables AGVs to navigate complex indoor spaces with enhanced accuracy and reliability, laying foundational groundwork for modern warehouse and factory automation. With 22 citations, this paper demonstrates significant influence in the field of mobile robotics and computer vision. Dr. Quan’s contributions extend beyond theoretical frameworks; his research directly addresses real-world challenges in industrial logistics, offering cost-effective solutions that reduce dependency on expensive sensor arrays. By integrating computer vision with control theory, he has advanced the practicality of autonomous guided vehicles, making them more accessible for small-to-medium enterprises. His work continues to inspire researchers exploring sensor fusion and low-cost navigation systems, cementing his reputation as a pragmatic innovator in robotics and automation.