Zi-Jun Yang

Visual-inertial odometry with adaptive image enhancement for low-light

Accurate state estimation is fundamental to the autonomous navigation of mobile robots. However, traditional visual-inertial odometry (VIO) often suffers from severe performance degradation in environments with insufficient illumination and sparse textures. To address this challenge, this paper proposes a robust, tight...