LOL-VO: Toward Robust Visual Perception and Ego-Motion Estimation in Low-Light Conditions
Visual odometry is a fundamental technology for autonomous systems, including robotics and self-driving cars. However, its performance often degrades in low-light conditions due to inherently low contrast, significant noise amplified by high gains, and motion blur induced by long exposure times. To mitigate these issue...