2026
Lightweight Learning-Based Feature Selection for Real-Time Optical Flow Navigation on a Quadrotor Platform
ICRA 2026poster
Accurate state estimation in GPS-denied environments is critical for autonomous quadrotor navigation. Conventional visual-inertial odometry (VIO) pipelines rely on dense feature extraction and tracking, which increases computational cost and is prone to drift when low-quality features dominate. Alth…