To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …

点云是目前摄影测量, 遥感, 计算机视觉等多个领域广泛应用的数据源之一,
而信息提取是点云处理, 分析和应用的必经环节. 为此, 学术界已经提出了大量点云信息提取方法 …

The stable detection and tracking of high-speed vehicles on the road by using LiDAR can
input accurate information for the decision-making module and improve the driving safety of …

The idea of the wisdom of the crowd is that integrating multiple estimates of a group of
individuals provides an outcome that is often better than most of the underlying estimates or …

To solve the problem of low efficiency in retroreflection maintenance of road traffic markings,
in this study a vehicle-mounted LiDAR-based perception and evaluation method of …

The traditional airborne LiDAR point clouds vehicle recognition algorithms only utilize the
contained geometric information and are not sufficient to recognize vehicles accurately …

In autonomous vehicle systems, sensing the surrounding environment is important to an
intelligent vehicle's making the right decision about the action. Understanding the …

Classifying point cloud of urban landscapes plays essential roles in many urban
applications. However, automating such a task is challenging due to irregular point …

Effective object extraction plays an important role in many point cloud-based applications.
This letter proposes a 3-D feature matching framework for point cloud object extraction. To …

Geometric features are an important factor for the classification of drugs and other transport
objects in chemical reactors. The moving speed of drugs and other transport objects in …