3D object detection has been wildly studied in recent years, especially for robot perception
systems. However, existing 3D object detection is under a closed-set condition, meaning …

摘要使用LiDAR 探测和预处理得到的点云数据是卫星遥感, 自动驾驶, 军事导航等领域完成预定
任务的数据基础, 随着深度学习算法和模型的不断发展, LiDAR 点云处理也实现了智能化的跨越 …

In autonomous driving scenarios, edge cases require perception algorithms, like 3D object
detection, to incrementally learn new data during a long term. To achieve it, previous …

3D point cloud semantic segmentation has been widely used in industrial scenes and has
attracted continuous attention as a critical technology for understanding the intelligent robot …

Point cloud data sets are frequently used in machines to sense the real world because
sensors such as LIDAR are readily available to be used in many applications including …

In the last few years, energy retrofit of the existing building stock has quickly positioned itself
centre stage of research and application, with several European directives and countries' …