ZPVehicles: a dataset of large vehicle 3D point cloud data

Abstract

As for current datasets of vehicle 3D points cloud, there are some shortcomings like lack of large vehicles, sparseness of point cloud data and insufficiency of vehicle parts information. In this paper, a high-density points cloud dataset of large vehicles named ZPVehicles(Points cloud of vehicles by Zhejiang Institute of Metrology) is provided. The original data of ZPVehicles is collected by a LAMIoVP(Lidar-based Automatic Measuring Instrument of Vehicle Profile), which is developed by us and installed in a vehicle testing station in Hangzhou, China. ZPVehicles contains the high-density point cloud data of about 800vehicles, which consist of 11 vehicle types such as van, barn truck, fence truck, crane truck, semitrailer tractor, bus, mini-bus, garbage truck, watering truck, communication warehouse truck and fuel tank truck. At the same time, ZPVehicles also provides the standard profile size of each vehicle and every part of the vehicle is labeled. To prove the practicability of ZPVehicles, some usages have been verified and demonstrated by experiments.