4 papers
FLARE-BO: Fused Luminance and Adaptive Retinex Enhancement via Bayesian Optimisation for Low-Light Robotic Vision
Nathan Shankar, Pawel Ladosz, Hujun Yin
Reliable visual perception under low illumination remains a core challenge for autonomous robotic systems, where degraded image quality directly compromises navigation, inspection,…
CLEAR-IR: Clarity-Enhanced Active Reconstruction of Infrared Imagery
Nathan Shankar, Pawel Ladosz, Hujun Yin
This paper presents a novel approach for enabling robust robotic perception in dark environments using infrared (IR) stream. IR stream is less susceptible to noise than RGB in low-…
PL-VIWO2: A Lightweight, Fast and Robust Visual-Inertial-Wheel Odometry Using Points and Lines
Zhixin Zhang, Liang Zhao, Pawel Ladosz
Vision-based odometry has been widely adopted in autonomous driving owing to its low cost and lightweight setup; however, its performance often degrades in complex outdoor urban en…
PL-VIWO: A Lightweight and Robust Point-Line Monocular Visual Inertial Wheel Odometry
Zhixin Zhang, Wenzhi Bai, Liang Zhao +1
This paper presents a novel tightly coupled Filter-based monocular visual-inertial-wheel odometry (VIWO) system for ground robots, designed to deliver accurate and robust localizat…