Dunyang Geng

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About

Dunyang Geng has established a focused research program at the intersection of autonomous navigation and multi-sensor fusion for mobile robotics. His primary contributions lie in developing robust positioning and mapping systems that enable robots to operate seamlessly across complex indoor and outdoor environments. Geng’s most influential work, "Research on Indoor and Outdoor Navigation Technology Based on the Combination of Differential GNSS and Lidar SLAM" (2020, 5 citations), pioneered an integrated navigation method that fuses high-precision satellite positioning with lidar-based simultaneous localization and mapping. This approach directly addresses the critical challenge of maintaining accurate localization during transitions between GPS-denied indoor spaces and open outdoor areas. Expanding on this foundation, his subsequent study "Research on mapping method based on data fusion of lidar and depth camera" (2021, 4 citations) introduced a novel three-sensor fusion framework combining single-line lidar, depth cameras, and IMU data. This work significantly improves mapping accuracy and scanning range for indoor mobile robots, overcoming the limitations of single-sensor configurations. Through these contributions, Geng has advanced the practical deployment of autonomous ground vehicles in logistics, warehousing, and service robotics, demonstrating how strategic sensor integration can create more reliable and versatile navigation systems for real-world applications.