LidarView vs Point Cloud Library

LidarView is a 3D LiDAR application for receiving, recording, visualizing, and processing sensor data in real time. It works with live streams and recorded PCAP files, displaying time-stamped returns as point clouds. Users can filter laser subsets, view multiple frames, apply 3D transforms, register point clouds, and classify points. Its SLAM tools reconstruct nearby environments and locate the sensor. The product page describes HPC support for AI-based scene classification, object tracking, and 3D reconstruction. Listed sensor interpreters cover Hesai, Leishen, Livox, Ouster, Robosense, and Velodyne; plugins can add interpreters when an open driver or packet specification is available. ROS2IO and PCL plugins are included. Built on ParaView, LidarView supports Python scripting and web visualization through trame. It supports E57 and LAS/LAZ data and is available for Linux and Windows. The software is open source under Apache 2.0 and costs nothing. Its documented sensor coverage does not span the whole market.

Point Cloud Library (PCL) is a free, open-source project for processing 2D and 3D images and point clouds. Its algorithms cover filtering, feature estimation, surface reconstruction, registration, model fitting, and segmentation. They can be used to reduce noise, join point clouds, divide scenes into segments, find keypoints, calculate descriptors, create surfaces, and visualize point data.

PCL is divided into smaller code libraries that can be compiled separately, supporting distribution on systems with limited computing capacity or storage. Prebuilt binaries are available for Linux, Windows, and macOS, and the project recommends package managers to distribute PCL and simplify installation of its third-party dependencies. It supports OpenNI 3D interfaces for acquiring and processing data from devices such as PrimeSensor cameras, Microsoft Kinect, and Asus XTionPro. The API reference includes public methods and classes, code snippets, and links to scientific publications. PCL uses the 3-clause BSD license and is free for commercial and research use.