Haikuo Liu

Papers

Total Citations

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About

Haikuo Liu is a researcher at the forefront of intelligent visual tracking and autonomous surveillance systems, with a focus on applications in bionic robotics and critical infrastructure security. His most influential work, "Practical Tracking Method based on Best Buddies Similarity" (2023), has garnered 19 citations for addressing a fundamental challenge in bionic robotics: maintaining robust visual tracking when targets undergo nonrigid deformation due to camera perspective changes. This real-time method enhances a robot’s ability to perceive and navigate dynamic environments, bridging a key gap between computer vision and embodied AI. More recently, Liu has advanced to large-scale security applications, co-authoring "Leader-Follower Heterogeneous Surveillance System Oriented to High-Speed Railway Lines Security" (2024). This work pioneers a novel heterogeneous system that overcomes camera blind spots and enables rapid emergency response, directly improving passenger and infrastructure safety. By integrating leader-follower coordination with heterogeneous sensors, Liu’s research demonstrates a clear trajectory from foundational tracking algorithms to deployable, high-impact systems. His contributions are shaping the next generation of autonomous perception for both mobile robots and critical public infrastructure.