Papers
1
Total Citations
5
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About
Haoran Lyu is a researcher in robotics and computer vision, with a focus on developing cost-effective and practical solutions for autonomous navigation. His work centers on stereo vision systems, particularly the innovative concept of pseudo-binocular stereo vision, which enables depth perception using a single moving camera rather than traditional dual-camera setups. In his most-cited paper, "Robot navigation based on pseudo-binocular stereo vision and linear fitting" (2020, 5 citations), Lyu proposed a method where the robot's own movement—shifting left or right by a set distance—creates a synthetic baseline for computing disparity maps via semi-global matching. This approach reduces hardware complexity while maintaining navigational accuracy, making it especially valuable for resource-constrained robotic platforms. By combining this with linear fitting techniques, Lyu demonstrated robust path planning in real-world environments. Though early in his career, his contributions highlight a creative engineering mindset, offering a bridge between theoretical computer vision algorithms and practical robotics. His work is particularly relevant for researchers exploring minimalist sensor configurations for autonomous systems.
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