Libo Sun

University of Adelaide, Australian Centre for Robotic Vision

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Total Citations

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About

Libo Sun is a computer vision and robotics researcher whose work sits at the intersection of visual perception, depth estimation, and autonomous systems. His research focuses on advancing core challenges in monocular visual odometry, semantic segmentation, and multi-camera perception — areas critical to the reliable operation of autonomous vehicles and mobile robots. Sun's most notable contribution is a framework that integrates learned depth estimation into monocular visual odometry systems, addressing the longstanding difficulty of building accurate and robust VO pipelines that generalize across diverse real-world scenarios. This work has garnered 37 citations since its 2022 publication, reflecting its significance to the robotics and computer vision communities. Building on this foundation, Sun has also tackled limitations in semantic segmentation by proposing a framework that exploits inter-image information from stereo camera pairs — a resource commonly available in autonomous vehicles but frequently overlooked by monocular-focused methods. Published in 2023, this work has already accumulated 11 citations, signaling growing interest in stereo-aware perception pipelines. Together, Sun's contributions demonstrate a consistent drive to push beyond conventional single-image approaches, leveraging richer geometric and contextual cues to improve the safety and intelligence of autonomous systems.