In this work, we introduce BYE, a class-agnostic, per-scene point cloud encoder that removes the need for predefined categories, shape priors, or extensive association datasets. Trained on only a ...

Bridge deformation monitoring is critical for ensuring the structural integrity and safety of bridges, as it enables early detection of potential issues that may lead to failure. However, current ...

The encoder module (Chen and Guo, 2023) is responsible for converting the input point cloud data into feature representations with semantic information. Assuming the input point cloud data is denoted ...

includes examples for arduino ide. Contribute to twin-science-robotics/hw_twin_aiot_module_arduino_library development by creating an account on GitHub.