Ming-Yue Wang

Deep State-Space Monocular Visual Odometry with Learnable Kalman Filtering

A monocular visual odometry method that combines deep temporal features with a Kalman filtering module based on a state-space model, which improves pose estimation robustness and adaptability to incomplete observations and verifies the effectiveness of combining classical filtering theory with deep learning for monocul...