Chao Xiong
Papers
1
Total Citations
2
H-Index
1
About
Chao Xiong is a researcher advancing the frontiers of autonomous robotics and spatial intelligence, with a primary focus on global localization, heterogeneous robot systems, and high-definition (HD) map-based navigation. Their most notable contribution is the development of a **base-map-guided global localization solution** that enables heterogeneous robots to achieve precise positioning using a novel **Co-View Context Descriptor**. This work, published in 2024 and already garnering attention, addresses a critical challenge in autonomous driving: leveraging pre-existing HD maps—originally created for autonomous vehicles—to provide robust localization support for robots equipped with LiDAR sensors. By bridging the gap between geospatial databases and mobile robotics, Xiong’s research offers a scalable, cost-effective alternative to traditional localization methods. The approach is particularly impactful for environments where GPS is unreliable, enabling seamless deployment across diverse robotic platforms. With their work cited in emerging studies, Xiong is establishing a foundation for next-generation autonomous systems that can intelligently interpret and utilize rich map data, promising safer and more efficient navigation in complex, real-world scenarios.
Research Focus
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Top Papers
- 1