Suzhou, China

Ruoyu Deng


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ruoyu Deng: Innovator in 2.5D Mapping Technology

Introduction

Ruoyu Deng is a prominent inventor based in Suzhou, China. He has made significant contributions to the field of mapping technology, particularly through his innovative methods that enhance the accuracy and reliability of 2.5D maps.

Latest Patents

Ruoyu Deng holds a patent for a "Vision-and-laser-fused 2.5D map building method." This method involves calculating inter-image frame transformation using an RGB-D image sequence to establish a visual front-end odometer. It utilizes a visual front-end initial estimation as the starting point for scanning matching, followed by laser front-end coarse-grained and fine-grained searches. The process includes loop closure detection and back-end global optimization on a 2.5D map based on detected closed loops. Additionally, it performs incremental updates on visual feature dimensions and occupation probability updates on grid dimensions. This innovative approach improves the richness of dimensions and completeness of information expression in the 2.5D map, ensuring stable performance even in scenarios of sensor degradation.

Career Highlights

Ruoyu Deng is currently associated with the Tongji Artificial Intelligence Research Institute (Suzhou) Co. Ltd. His work focuses on advancing artificial intelligence applications in mapping and navigation technologies. His expertise in integrating visual and laser data has positioned him as a key figure in the development of robust mapping solutions.

Collaborations

Ruoyu Deng collaborates with various professionals in his field, including his coworker, Hao Chen. Their joint efforts contribute to the ongoing research and development of innovative mapping technologies.

Conclusion

Ruoyu Deng's contributions to the field of 2.5D mapping technology exemplify the impact of innovative thinking in enhancing navigation systems. His patented methods not only improve the accuracy of mapping but also ensure reliability in challenging conditions.

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