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Description
FugroViewer is a powerful and user-friendly freeware that enables users to effectively utilize their geospatial data. It has been specifically developed to accommodate a variety of raster and vector geospatial datasets, including those derived from photogrammetry, lidar, and IFSAR technologies. The latest version, FugroViewer 3.5, is now available for download, featuring the capability to process files that are up to six times larger than previous versions. Enhanced graphics performance has been integrated to reduce rendering times and boost overall efficiency. Furthermore, FugroViewer supports the newest open file formats for the storage and delivery of lidar data. Users can visualize elevation and terrain model data through standard ortho, 3D perspective, and cross-section views, while also being able to display GPS time and RGB values when accessible. The software allows for the coloring of TINs based on elevation using a gradient from blue to red, as well as by intensity values. Additionally, it facilitates the overlay of imagery and vector data onto 3D elevation and terrain datasets, enabling comprehensive analysis. Users can also inspect lidar point clouds by various criteria such as classification, flight line, return number, or source ID, enhancing their analytical capabilities even further. This makes FugroViewer an invaluable tool for anyone working with complex geospatial data.
Description
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.
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Has API
API Access
Has API
Integrations
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Integrations
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Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fugro
Founded
1962
Country
Netherlands
Website
www.fugro.com/expertise/other-expertise/fugroviewer
Vendor Details
Company Name
Helm.ai
Website
www.helm.ai/technology/
