An online and automated measurement approach based on LiDAR point cloud data for luggage dimensions is proposed, in order to enhance real-time precision and accuracy in luggage dimension measurements. This method is applicable to stationary luggage at airports and stations. Firstly, luggage point clouds are rapidly extracted based on scene information. Secondly, luggage types are determined based on luggage characteristics, which include regular and irregular luggage. Finally, luggage dimensions are computed to obtain the length, width, and height of the luggage. The experiment demonstrates that this method can achieve efficient measurement of luggage dimensions for various shapes, which presents certain practical value.
In view of the current booming LiDAR systems and the trends of the future market, this paper first introduces the mainstream manufacturers in real-time sensing LiDAR, as well as their products. Combining with different requirements in application, characteristics, and current situation of different LiDAR technical systems. Then, the research progress in railway perimeter real-time monitoring of the LiDAR team from the Institute of Microelectronics is presented. Finally, the application trend and development prospect of real-time sensing LiDAR are summarized and forecasted. To meet the evolving demands, real-time sensing LiDAR will be further advanced to low cost, high performance, product seriation, device miniaturization, fixation and multi-source integration, etc. The system has been applied to protect railway security.
Light Detection and Ranging (LiDAR) is gradually developing towards low-cost and high reliability, a variety of highperformance products using different techniques have been derived, which have been widely used in pedestrian detection. In this work, we choose a repetitive scanning LiDAR and a non-repetitive scanning LiDAR to compare the distribution of pedestrian point cloud at different distances. In addition, a pedestrian detection algorithm based on density clustering is designed to compare the detection effects of the two kinds of devices, which provide data support for the research of smart security, V2X (vehicle-to-everything), and autonomous driving. The experiment results show that Livox Horizon has the ability of capturing pedestrian cross-section point cloud with higher completeness and density than Ouster OS1- 64 as integration time increases. Moreover, Horizon and OS1-64 have basically the same detection effect on closedistance dynamic pedestrian, and OS1-64 performs better when detecting pedestrian at 40m. By means of growing integration time, Horizon greatly enhances the ability of detecting long-distance pedestrian.
Airborne Light Detection and Ranging (LiDAR) can perform high-density scanning on the surface and quickly collect massive point cloud data with information such as three-dimensional (3D) coordinates and echo intensity. It is an important means of geospatial data acquisition and plays a very important role in various fields such as power inspection, forestry investigation, digital city, culture heritage protection, altitude hold and collision avoidance of Unmanned Aerial Vehicle (UAV), etc. Driven by the development of sensor technology and practical demand, airborne LiDAR has made great progress in hardware performance as well as industrial applications. This paper reviews the current status of the light and miniature UAV-borne LiDAR in China and other contries, then typical applications in related fields are listed. Finally, some future perspectives are presented.