Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation 事件

Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation arXiv:2606.05437v1 Announce Type: cross Abstract: This work introduces a hybrid deep learning approach integrated with an Unscented Kalman Filter (UKF) to enhance pose estimation accuracy in Visual-Inertial Odometry (VIO) for autonomous navigation. The proposed model employs a Vision Transformer (ViT) network to effectively capture temporal dependencies from inertial measurement unit (IMU) data and utilizes a Multiscale Convolut