5 accepted papers
Sensor degradation in unstructured natural environments---manifesting as LiDAR point cloud sparsity or visual feature dropout---and out-of-sequence measurement challenges critically undermine localization robustness in autonomous systems. To address these limitations, we present STEAM-LIVO, a Spatio…
In the realms of autonomous driving and robotics, radar sensors are garnering growing interest. Scene understanding is crucial for the safe navigation of autonomous systems. Panoptic segmentation and tracking tasks enable the dynamic, semantic multilevel description of the environment surrounding ve
The existing method of detecting defects in train components, which relies on visual identification, requires extensive involvement from inspectors and presents certain limitations. In this study, a two-stage defect detection based on prior knowledge was developed, which first detects the types and…
The 3D talking head has been developed fast, in which both external and internal articulators were demonstrated. For Mandarin pronunciation, the aspiration airflow is crucial to discriminate confusable Mandarin consonants. In this paper, we present a 3D talking head system for articulatory and aspir…