Best LiDAR Software in China

3DF Zephyr enables the adoption of photogrammetry across various applications, catering to diverse objectives and requirements through a comprehensive software suite. Our proprietary technology is designed to be as adaptable and user-friendly as possible, allowing for seamless integration with the skill levels of different users. With 3DF Zephyr, users can effortlessly conduct automatic 3D reconstructions by utilizing images and videos captured with any sensor and employing a variety of acquisition methods. You have the flexibility to utilize multiple cameras, lenses, and focal lengths during a single surveying or scanning session. Maximize your aerial and terrestrial photogrammetry capabilities by processing videos, spherical images, multispectral, and thermal plus RGB visuals all within one software platform. Additionally, 3DF Zephyr goes beyond traditional photogrammetry by allowing you to import, align, and analyze your laser scan data, supporting a range of native file formats. This makes it a comprehensive tool for professionals in the field, streamlining workflows and enhancing project efficiency.

Discover the only integrated drone mapping and photogrammetry software that offers tools across flight applications, desktop interfaces, and cloud platforms. Trust Pix4D’s advanced processing algorithms to deliver the high-quality survey results you require. Enhance your accuracy with the AutoGCPs feature for precise measurements. Access an immediate overview of any job site from any location via your browser, available in both 2D and 3D formats, allowing you to measure, explore, compare, share, and collaborate on the data. Maintain a thorough and current record of your project to address disputes swiftly and effectively. Utilize drones or any laser scanner to capture images or point clouds with ease. When deploying a drone, streamline and enhance your flights using the complimentary PIX4Dcapture mobile app. Harness the combined capabilities of images and point clouds to extract vital components from photogrammetry, laser scanning, or LiDAR data, surveying curbs, building footprints, walls, and catenary curves, among others. Increase your efficiency by 50% when vectorizing from point clouds and validating with images, while the Smart Grid function minimizes the need for repetitive clicks when generating spot elevations. With these tools at your disposal, you can optimize your workflow and achieve superior project outcomes.

Effortlessly capture and disseminate precise, immersive 3D scans of various environments using your LiDAR-equipped iOS device. Eliminate the need for expensive scanning equipment that requires extensive setup and investment. One well-executed scan can provide far more value than numerous manual measurements. No longer will you have to deal with a never-ending stream of emails filled with photo attachments; simply utilize our web viewer and share one link with your entire team for collaboration on measurements and feedback. You can export PLY and E57 files, which are compatible with a wide range of 3D software applications. Just launch the SiteScape app, begin scanning, and witness a detailed 3D model materialize instantly. This advanced technology is user-friendly, allowing your team to efficiently document projects with minimal effort. Your high-resolution scans boast accuracy within an inch, making them suitable for a variety of site documentation and coordination tasks. Ultimately, if a picture conveys a thousand words, then a scan represents a thousand measurements, streamlining your workflow considerably. In this way, capturing the essence of a space has never been simpler or more effective.

SKY ENGINE AI provides a unified Synthetic Data Cloud designed to power next-generation Vision AI training with photorealistic 3D generative scenes. Its engine simulates multispectral environments—including visible light, thermal, NIR, and UWB—while producing detailed semantic masks, bounding boxes, depth maps, and metadata. The platform features domain processors, GAN-based adaptation, and domain-gap inspection tools to ensure synthetic datasets closely match real-world distributions. Data scientists work efficiently through an integrated coding environment with deep PyTorch/TensorFlow integration and seamless MLOps compatibility. For large-scale production, SKY ENGINE AI offers distributed rendering clusters, cloud instance orchestration, automated randomization, and reusable 3D scene blueprints for automotive, robotics, security, agriculture, and manufacturing. Users can run continuous data iteration cycles to cover edge cases, detect model blind spots, and refine training sets in minutes instead of months. With support for CGI standards, physics-based shaders, and multimodal sensor simulation, the platform enables highly customizable Vision AI pipelines. This end-to-end approach reduces operational costs, accelerates development, and delivers consistently high-performance models.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

LidarView, an open-source platform created by Kitware, facilitates real-time visualization, recording, and processing of 3D LiDAR data. This platform, which is built on the foundation of ParaView, excels in rendering extensive point clouds and provides functionalities like 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes such as timestamp and azimuth, and the capability to showcase multiple data frames at once. Users have the flexibility to input data from live sensor streams or from recorded .pcap files, allowing them to apply 3D transformations to point clouds and manage various subsets of laser data effectively. LidarView is compatible with a diverse range of sensors, including those from Velodyne, Hesai, Robosense, Livox, and Leishen, making it possible to visualize live streams as well as replay previously recorded data. The platform is also equipped with sophisticated algorithms for Simultaneous Localization and Mapping (SLAM), which aids in precise environmental reconstruction and sensor localization. Additionally, it features AI and machine learning capabilities that enhance scene classification, offering users a comprehensive tool for advanced data analysis and visualization. This makes LidarView a versatile option for researchers and professionals seeking to leverage LiDAR technology in their work.

GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.

Whitebox Geospatial Inc. specializes in cutting-edge geospatial software that leverages open-source technology, offering a comprehensive array of tools aimed at enhancing geospatial data analysis. Their primary product, WhiteboxTools Open Core (WbT), boasts an impressive collection of over 475 tools designed to handle various forms of geospatial data, including raster, vector, and LiDAR formats. WbT is crafted for easy integration with other GIS platforms, such as QGIS and ArcGIS, which enhances their analytical functions significantly. Featuring robust parallel computing capabilities, it operates independently of additional libraries like GDAL and can be accessed through scripting environments, making it an adaptable option for geospatial experts. For those in need of more advanced features, Whitebox provides the Whitebox Toolset Extension (WTE), a premium add-on that contributes over 75 additional tools specifically for intricate geospatial data processing. Furthermore, Whitebox Workflows for Python (WbW) empowers geospatial professionals by offering advanced geoprocessing options that elevate their analytical workflows to new heights. This extensive suite of tools is designed to meet the diverse needs of users in the geospatial field, ensuring that they have the resources necessary for comprehensive data analysis.

LiDAR360 is an all-encompassing software solution for processing and analyzing LiDAR point clouds, created by GreenValley International. This robust platform includes a variety of specialized modules designed to meet the needs of different sectors such as terrain analysis, forestry management, mining, and power line inspection. With the ability to process large volumes of data, it can manage over 300 GB of LiDAR information at once and features more than 10 sophisticated algorithms for point cloud processing. Among its primary capabilities are data preprocessing, filtering, classification of point clouds, generation of digital terrain and surface models, as well as 3D visualization. Additionally, LiDAR360 equips users with tools for segmenting individual trees, extracting forest parameters, and conducting regression analyses for biomass estimation, which significantly enhances the efficiency of forest resource assessments. In the mining sector, the software supports open-pit mine modeling, monitors volume changes, and provides detailed tunnel section analyses. Overall, LiDAR360 stands out as a versatile tool, capable of improving productivity and accuracy across various applications.

Explore a versatile, scalable, and modular virtual driving simulator that facilitates testing across diverse objectives and performance metrics. The Ansys VRXPERIENCE Driving Simulator, powered by SCANeR™, allows users to create scenarios, evaluate software, analyze vehicle dynamics, and engage with sensors all within a virtual driving framework. This simulator provides a complete virtual driving laboratory for scrutinizing performance outcomes. The VRXPERIENCE Driving Simulator delivers an engaging simulated driving experience situated in a realistic environment. Conduct thorough safety evaluations that enable the simulation of millions of virtual miles in just a few days, significantly accelerating development by a factor of 1,000 when compared to traditional road testing methods. As the landscape of passenger vehicles evolves to become increasingly digital and autonomous, the demand for an array of advanced technologies, including various sensors like cameras, radar, and lidar, as well as sophisticated embedded software for automated control systems, continues to grow. This advancement underscores the necessity for innovative tools in vehicle development and testing.

Global Mapper®, a cutting-edge GIS program, provides both novice and seasoned geospatial professionals with a wide range of spatial data processing tools. It also has access to an unrivalled variety of data formats. Global Mapper's intuitive user interface is easy to use and the logical layout makes it easy for users to get up and running in no time. Organizations of all sizes quickly see a significant return for their investment in efficient data processing, accurate map design, and optimized spatial data administration. You can export vector, raster and elevation data in almost every file format, as well as many proprietary formats. Data can be exported in smaller or more manageable formats. The export area can also be cropped to a specified area or the entire screen view.

You can create, edit, visualize, analyze, and publish geospatial data across various platforms including Windows, Mac, Linux, BSD, and mobile devices. This functionality is available for use on desktops, servers, web browsers, and as developer libraries. QGIS, a user-friendly and open-source Geographic Information System (GIS), operates under the GNU General Public License. It is recognized as an official project of the Open Source Geospatial Foundation (OSGeo). The software is compatible with operating systems such as Linux, Unix, Mac OSX, Windows, and Android, and it supports a wide array of vector, raster, and database formats along with their respective functionalities. QGIS offers an ever-expanding set of features through both core functions and plugins. Users can visualize, manage, edit, and analyze their data while also creating printable maps. Additionally, we gather case studies that showcase how individuals worldwide utilize QGIS in their GIS projects. Furthermore, users can seamlessly view combinations of vector and raster data in both 2D and 3D formats, using different projections without needing to convert to a standardized internal format. This flexibility makes QGIS an invaluable tool for professionals and enthusiasts alike.

Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.

ROCK Desktop is an all-encompassing software solution for processing and visualizing LiDAR data, created by ROCK Robotic. This tool empowers users to handle raw data from ROCK's LiDAR systems, featuring improved trajectory processing and the ability to visualize extensive datasets in both on-site and office environments. Users can define specific areas, choose fields of view and ranges, and take advantage of unique features such as ROCK Ray-Trace Colorization and SLAM/SLAM GCP Alignment. The free version acts as a point cloud visualizer, significantly reducing LiDAR file sizes by up to 10 times, which simplifies sharing during presentations and ensures smooth integration with ROCK Cloud projects. Users benefit from advanced calibration tools that give them greater control over their data, supporting both camera and LiDAR calibration processes. Furthermore, seamless integration with ROCK Cloud allows for one-click access to enhanced cloud processing capabilities, which accelerates upload speeds and facilitates quick project sharing, making collaboration more efficient than ever. With its versatile functionality, ROCK Desktop stands out as a vital resource for professionals in the LiDAR community.

ROCK Cloud serves as an all-encompassing platform that enhances the processing and analysis of LiDAR datasets, making it easier for users to manage their projects. With its real-time editing and classification features, individuals can quickly compare, align, and merge their data, improving efficiency in their workflows. The platform also includes tools for managing ground control points, delivering precise reports to maintain data accuracy. Users can execute 3D ground control point alignment, assess stockpile volumes, and view inspection images with ease. In addition, ROCK Cloud promotes seamless data storage and sharing among multiple users, complete with options for personalized branding. The integration of orthomosaics ensures a holistic deliverable experience. Data security is paramount, as all information is safely housed within the ROCK Cloud, fostering collaboration among team members. Users can also order professional deliverables effortlessly with a simple click, while the platform ensures quality checks on data to verify correct capture and alignment. Overall, ROCK Cloud significantly enhances project management in the realm of LiDAR data processing.

TopoDOT is an all-encompassing software solution for processing point clouds, tailored to meet the specific demands of geospatial data collection across various sectors, including road, rail, utility, and land surveying. It strikes an impressive balance between automation and quality control, allowing for the swift and precise extraction of topographical information, 3D structural models, GIS asset data, and various digital twin infrastructure outputs. By utilizing artificial intelligence, the platform accelerates feature extraction from point clouds, significantly boosting efficiency and lowering project expenses. The software’s toolkit encompasses features for data management and sharing, quality assessment, and a structured approach to ensure that projects are executed successfully. Furthermore, TopoDOT goes beyond just software by offering training and ongoing support from experienced professionals, empowering users to fully enhance their operational workflows. This commitment to user assistance helps foster a deeper understanding of the software's capabilities, ultimately leading to better project results.

NVIDIA DRIVE® Map is an advanced mapping platform crafted to support the utmost levels of vehicle autonomy while enhancing safety measures. By merging precise ground truth mapping with the agility and scale of AI-driven fleet-sourced mapping, it achieves remarkable results. The system utilizes four distinct localization layers—camera, lidar, radar, and GNSS—ensuring the necessary redundancy and flexibility for sophisticated AI drivers. With a focus on exceptional accuracy, the ground truth map engine generates DRIVE Maps by integrating a variety of sensors, including cameras, radars, lidars, and differential GNSS/IMU, all captured through NVIDIA DRIVE Hyperion data collection vehicles. It delivers an impressive accuracy of better than 5 cm, particularly in high autonomy scenarios (L3/L4), in environments like highways and urban areas. Designed for rapid operation and global adaptability, DRIVE Map leverages both ground truth and fleet-sourced information, encapsulating the shared knowledge of millions of vehicles on the road. This innovative approach not only enhances mapping precision but also contributes to the evolving landscape of autonomous driving technology.

You can scan virtually anything, from your head and body to your car and specific parts intended for 3D printing. After capturing your scans, you can quickly export them in either PLY format (which includes colors) or STL format. You can view your models in both augmented reality and traditional viewers, and share them effortlessly through a built-in Wi-Fi server, the iOS Files app, or iTunes. If privacy is important to you, Heges prioritizes it, ensuring that your data remains on your device unless you choose to share your models over local Wi-Fi. Reject the idea of tracking and third-party data collection! This application is designed exclusively for iPhones and iPads equipped with FaceID or LiDAR technology. It's crucial to keep the object or scene you are scanning completely still throughout the process, while you should gently move your iPhone or iPad to capture the scan. If you find that the scan quality is lacking, try reducing your movement speed, as experimenting with the pace can significantly impact the outcome—consider even moving at a snail's pace, such as 5mm per second. Additionally, always make sure that the object you are scanning is within the device’s scanning range, which varies depending on the selected precision settings of 0.5mm or 0.8mm. Remember to take your time and enjoy the scanning experience!

Trnio enables users to upload as many as 500 high-resolution images for each scan, leveraging our cloud technology to deliver the precise details necessary for your project. By integrating both ARKit and LiDAR technology, Trnio simplifies the scanning procedure while consistently producing exceptional results. Effortlessly capture authentic moments with Trnio, allowing you to obtain high-quality scans wherever you are. While a picture may communicate a thousand words, the value of a Trnio scan goes far beyond that. For smaller and medium-sized objects, the Photo Import and AR Capture scanning modes are most effective, ensuring that the focus remains on the subject rather than its surroundings. When selecting items to scan, it's essential to remember that certain objects yield better results than others, particularly those with distinct features. Furthermore, it's advisable to steer clear of items with minimal detail or reflective surfaces, as they can complicate the scanning process and diminish the overall quality of the output. Ultimately, understanding what works best for scanning will lead to more impressive and accurate results.

Professionals in geographic imaging must handle extensive geospatial data daily, frequently using software intended for different tasks, along with additional applications that may introduce as many complications as they alleviate. By utilizing ERDAS IMAGINE, users can save both resources and time, maximize their existing data investments, and enhance their image analysis capabilities. This software offers significant advantages by integrating remote sensing, photogrammetry, LiDAR analysis, basic vector analysis, and radar processing into one comprehensive solution. ERDAS IMAGINE streamlines various processes, including image classification and segmentation, orthorectification, mosaicking, reprojection, elevation extraction, and image interpretation. Thanks to powerful algorithms and efficient data processing functions, users can focus on their analyses without being hindered by technical complexities. Furthermore, ERDAS IMAGINE supports advanced methodologies such as K-Means, ISODATA, object-based image segmentation, and incorporates Machine Learning and Deep Learning Artificial Intelligence algorithms to enhance data analysis further. By adopting this tool, geographic imaging professionals can significantly boost their productivity and the quality of their results.

Engineered using top-tier hardware and innovative software, the Aurora Driver is crafted to be versatile across different vehicle categories and applications, thereby enabling the advantages of autonomous driving in various sectors, such as freight transportation, local delivery services, and passenger transport. This advanced system incorporates sensors that gather environmental data, software that devises a secure route, and a computer that integrates these components with the vehicle itself. Capable of handling any vehicle, from compact cars to heavy-duty trucks, the Aurora Driver is equipped with the Aurora Computer, which acts as the core interface connecting our hardware with the autonomy software, facilitating smooth integration with diverse vehicle types. Our tailor-made sensor suite, which includes FirstLight Lidar, advanced long-range radars, and high-definition cameras, collaborates effectively to create a three-dimensional view of the surroundings, providing the Aurora Driver with a comprehensive 360˚ awareness of its environment in real time. This sophisticated technology ensures that the Aurora Driver can adapt to varying driving conditions, enhancing safety and efficiency across all its applications.

Introducing "Luxolis", a powerful 3D scanning app that allows you to capture detailed 3D models of any object or surface quickly and accurately using your iPhone and iPad Pro. Luxolis features advanced measurement tools that allow you to take precise measurements, make annotations and collaborate remotely. New version is available now!

We are enhancing the efficiency of geotechnical data gathering for ground control engineers, geotechnical specialists, and geologists. Our innovative platform allows these professionals to seamlessly collect and process 3D point cloud data into actionable geological insights. Given the inherent risks and time demands of taking measurements in mining environments, our solution aims to facilitate a safer and quicker means of obtaining essential information for mining operations. Utilizing advanced handheld and mobile mapping technology, we gather and automatically compute joint set orientations of rock formations through flash LiDAR, an inertial measurement unit, and our proprietary software. Additionally, we offer a user-friendly interface for recording Rock Mass Rating (RMR), Q values, and other geological metrics. With our solution, engineers and geologists can attain highly precise and reliable data in just minutes. Our dedicated team is committed to developing an industrial-grade product that serves as a sophisticated yet straightforward tool, delivering unparalleled benefits to the mining sector. This innovative approach not only streamlines data collection but also significantly enhances the safety and efficiency of geological assessments.

We provide licensing for AI software that spans the entire L2-L4 autonomous driving framework, which includes components like perception, intent modeling, path planning, and vehicle control. Our solutions achieve exceptional accuracy in perception and intent prediction, significantly enhancing the safety of autonomous driving systems. By leveraging unsupervised learning alongside mathematical modeling, we can harness vast datasets for improved performance, bypassing the limitations of supervised learning. These advancements lead to technologies that are remarkably more capital-efficient, resulting in a reduced development cost for our clients. Our offerings include Helm.ai's comprehensive scene vision-based semantic segmentation, integrated with Lidar SLAM outputs from Ouster. We facilitate L2+ autonomous driving capabilities with Helm.ai on highways 280, 92, and 101, which encompasses features such as lane-keeping and adaptive cruise control (ACC) lane changes. Additionally, Helm.ai excels in pedestrian segmentation, utilizing key-point prediction to enhance safety. This includes sophisticated pedestrian segmentation and accurate keypoint detection, even in challenging conditions like rain, where we address corner cases and integrate Lidar-vision fusion for optimal performance. Our full scene semantic segmentation also accounts for various road features, including botts dots and faded lane markings, ensuring reliability across diverse driving environments. Through continuous innovation, we aim to redefine the boundaries of what autonomous driving technology can achieve.

Streamlined workflows and comprehensive reporting functionalities enhance the efficiency and productivity of both surface and underground mining activities. With user-friendly point cloud processing tools, you can quickly and effectively assess the current status of your project. Integrate and process point cloud data from Maptek laser scanners, UAVs, and various lidar sensors into comprehensible deliverables. Effortlessly calculate stockpile volumes, revise end-of-month survey models with fresh field data, and evaluate geotechnical risks that might threaten the safety of your operations. PointStudio equips users with the necessary tools to accurately measure, quantify, and convey adherence to design specifications. It operates within the Maptek Workbench, ensuring seamless interoperability with other Maptek products. Users have the ability to establish workflows that automate and standardize processes at the site level. Furthermore, customizable toolbars, menus, workflows, and shortcut keys can be easily configured to align with individual working habits, promoting consistency across teams, locations, and operational procedures. This adaptability not only boosts efficiency but also enhances collaboration among various stakeholders involved in the mining process.