Ziyuan Tong

Papers

Total Citations

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About

Ziyuan Tong is a robotics researcher whose work focuses on computer vision and autonomous systems for hazardous environments, particularly in post-disaster rescue operations. His most-cited paper, "Research on stereo vision matching algorithm for rescue robot" (2017), addresses a critical challenge in underground mine rescue: after gas explosions, narrow tunnels and limited access demand real-time environmental feedback and victim localization. Tong’s contribution lies in developing stereo vision algorithms that enable rescue robots to perceive depth and navigate cluttered, low-visibility spaces autonomously. This work has garnered 5 citations, reflecting its niche but vital impact on safety robotics. Tong’s research bridges computer vision and field robotics, aiming to reduce human risk in disaster response. His achievements include advancing real-time 3D mapping for confined spaces, a key enabler for rapid deployment in life-threatening scenarios. For students and researchers in robotics, Tong’s work exemplifies how targeted vision algorithms can transform rescue missions, offering a foundation for further innovation in autonomous emergency response systems.