2026
Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry
CVPR 2026
Visual-Inertial Odometry (VIO) is a critical component for robust ego-motion estimation, enabling foundational capabilities such as autonomous navigation in robotics and real-time 6-DoF tracking for augmented reality.Existing methods face a well-known trade-off: filter-based approaches are efficient