Yanjiang Chen

Beijing Jingshida Electromechanical Equipment Research Institute

Papers

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About

Yanjiang Chen is a researcher specializing in robotics perception, simultaneous localization and mapping (SLAM), and computer vision, with a focus on multi-robot systems and environmental adaptability. His major contributions include developing a novel multi-robot point cloud map fusion algorithm based on visual SLAM, which addresses the critical challenge of accurately identifying overlapping areas during collaborative mapping. By introducing a method that judges overlapping regions through the relative motion of visual SLAM key frames, Chen’s work enhances the efficiency and precision of multi-robot spatial reconstruction. This research, published in 2021, has garnered 5 citations, reflecting its relevance in advancing autonomous navigation. Additionally, Chen has explored target recognition under varying spatial illumination conditions, proposing a proportional slope dynamic threshold technique to improve detection robustness. This 2022 study, with 2 citations, demonstrates his commitment to solving real-world perception challenges. Chen’s work is notable for its practical implications in robotics, particularly for applications requiring coordinated mapping and reliable object detection in dynamic environments, making him a promising contributor to the field.