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What is FugroViewer?

FugroViewer is an advanced and intuitive freeware designed to help users make the most of their geospatial data. It is tailored to support a diverse range of raster and vector datasets, which include those generated from technologies like photogrammetry, lidar, and IFSAR. The newly released FugroViewer 3.5 allows for the handling of files that are significantly larger—up to six times more—than what prior versions could manage. With improved graphics performance, users will experience quicker rendering times and enhanced efficiency overall. Moreover, the software now accommodates the latest open file formats for lidar data storage and delivery. Users can visualize elevation and terrain model data through various views, such as standard ortho, 3D perspective, and cross-section, while also displaying GPS time and RGB values when available. The software's functionality extends to colorizing TINs based on elevation gradients ranging from blue to red, as well as intensity values. It also supports the overlay of imagery and vector data onto 3D elevation and terrain datasets, providing a more comprehensive analysis. In addition, users can examine lidar point clouds based on a variety of criteria, including classification, flight line, return number, or source ID, which enhances their analytical capabilities. Overall, FugroViewer proves to be an essential resource for professionals dealing with intricate geospatial data, ensuring they can work efficiently and effectively. This versatility and robustness make it a standout choice in the realm of geospatial analysis tools.

What is Apollo Autonomous Vehicle Platform?

Various sensors such as LiDAR, cameras, and radar collect data about the surrounding environment of the vehicle. Utilizing sensor fusion technology, advanced perception algorithms are capable of accurately detecting, positioning, evaluating the velocity, and establishing the orientation of objects on the road in real-time. This autonomous perception framework is bolstered by Baidu's vast big data resources and deep learning expertise, complemented by an extensive collection of labeled driving data derived from actual driving experiences. Furthermore, the comprehensive deep-learning platform, along with GPU clusters, supports simulation, allowing for the virtual navigation of millions of kilometers each day through a range of real-world traffic and autonomous driving scenarios. This simulation service provides partners with a multitude of autonomous driving situations, enabling rapid testing, validation, and refinement of models while emphasizing safety and efficiency. In essence, this cutting-edge methodology not only improves the dependability of autonomous systems but also significantly hastens their development timelines, fostering innovation in the industry. As a result, the integration of these technologies sets a new standard for future advancements in autonomous driving.

Media

Media

Integrations Supported

Dragon Metrics

Integrations Supported

Dragon Metrics

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Fugro

Date Founded

1962

Company Location

Netherlands

Company Website

www.fugro.com/expertise/other-expertise/fugroviewer

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

apollo.auto/

Categories and Features

Categories and Features

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