Abstract: Based on DL (Deep Learning) technology, this paper develops an advanced algorithm which can accurately predict the properties of materials, and applies it to the optimal design of mechanical ...
Abstract: This study proposes a novel traditional building structure-preserving 3D reconstruction algorithm based on hybrid imaging technology. The main application scenario of this algorithm is to ...
Abstract: Mobile robots rely on Visual Simultaneous Localization and Mapping (SLAM) as their primary technology. However, in environments with dynamic lighting changes, current state-of-the-art visual ...
Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...
Abstract: Accurate identification of linear structures is crucial for terrain feature recognition. Traditional identification methods rely on manual observation, which are time-consuming, ...
These notes can be used to find top patterns for each category. Note that reading these notes can be much faster than watching videos. Moreover, it can take only take an evening to refresh your ...
Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
Abstract: Point clouds can capture the precise geometric information of objects and scenes, which are an important source of 3-D data and one of the most popular 3-D geometric data structures for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results