Real-time reception, recording, visualization, and processing of 3D LiDAR data from multiple manufacturers.
LidarView is an open-source application for real-time reception, recording, visualization, and processing of 3D LiDAR data. It supports a wide variety of LiDAR sensors from multiple manufacturers, allowing users to work with live streams or pre-recorded data. The tool solves the need for a unified platform to handle LiDAR point clouds with advanced visualization and export capabilities.
Researchers, engineers, and developers working with LiDAR sensors in fields like autonomous vehicles, robotics, surveying, and environmental mapping who need to visualize and process 3D point cloud data.
Developers choose LidarView for its extensive sensor support, real-time capabilities, and integration with ParaView's powerful visualization framework. Its open-source nature and plugin extensibility make it a flexible alternative to proprietary LiDAR software.
LidarView performs real-time reception, recording, visualization and processing of 3D LiDAR data. This repository is a mirror of https://gitlab.kitware.com/LidarView/lidarview.
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Supports over 50 LiDAR models from manufacturers like Velodyne, Hesai, and Robosense, making it a vendor-agnostic solution for diverse hardware.
Enables live streaming from sensors and PCAP playback, essential for applications in autonomous vehicles and robotics where immediate feedback is critical.
Leverages ParaView for advanced 3D visualization with custom color maps for variables like intensity, time, and laser ID, as shown in the example images.
Includes built-in SLAM capabilities to estimate LiDAR trajectory and build 3D maps, with detailed documentation and a webinar available for guidance.
Exports point clouds to CSV, PLY, PCD, LAS, or VTK formats, facilitating easy data sharing and analysis with other tools.
Building from source requires navigating multiple repositories like lidarview-superbuild, which is documented separately and can be time-consuming for new users.
Live streaming demands specific static IP settings and firewall adjustments, as detailed in the 'How to use' section, which can lead to errors and troubleshooting.
Relies on ParaView's interface and concepts, which may be overwhelming for users unfamiliar with scientific visualization software, despite its extensibility.
Instructions are spread across GitLab pages, separate documentation files, and external resources like webinars, complicating the onboarding process.